Relevant bibliographies by topics / Visual discrimination

Academic literature on the topic 'Visual discrimination'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Visual discrimination"

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Haagensen, Annika M. J., Nanna Grand, Signe Klastrup, Christina Skytte, and Dorte B. Sørensen. "Spatial discrimination and visual discrimination." Behavioural Pharmacology 24, no. 3 (June 2013): 172–79. http://dx.doi.org/10.1097/fbp.0b013e32836104fd.

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Pérez-González, Luis Antonio, and Héctor Martínez. "Emergence of Third-Order Conditional Discriminations from Learning Discriminations with Unrelated Stimuli." Psychological Record 72, no. 1 (November 17, 2021): 75–88. http://dx.doi.org/10.1007/s40732-021-00461-2.

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AbstractThis study explored learning and generalization of a third-order conditional discrimination. Two 8-year-old children learned two auditory–visual conditional discriminations in which they selected visual Japanese syllabic symbols in response to syllables spoken by the experimenter. Then, they learned a third-order conditional discrimination in which they selected between two visual symbols after being exposed to two spoken syllables and one visual symbol. Thereafter, we probed generalization with novel symbols and names by teaching two additional conditional discriminations with Nahuatl symbols and spoken words and probing without reinforcement a new third-order conditional discrimination in which they had to select between two visual Nahuatl symbols after being exposed to two spoken Nahuatl words and one visual Nahuatl symbol. The two children responded in a predicted way to the novel third-order conditional discrimination. The emergent performance was possible because the set of relations established among the stimuli of the third-order conditional discrimination with Japanese syllables was analogous to the set of relations established among the stimuli of the third-order conditional discriminations with Nahuatl words. These results demonstrated a novel type of emergent responding in third-order conditional discrimination with arbitrary relations.
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Merigan, William H. "Basic visual capacities and shape discrimination after lesions of extrastriate area V4 in macaques." Visual Neuroscience 13, no. 1 (January 1996): 51–60. http://dx.doi.org/10.1017/s0952523800007124.

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Abstractlbotenic acid lesions were made in four macaque monkeys in a region of cortical area V4 that corresponds to the lower quadrant of one hemifield. For visual testing, fixation locus was monitoredwith scleral search coils and controlled behaviorally to place test stimuli either in the lesionedquadrant or in a control location in the opposite hemifield. Some basic visual capacities were slightly altered by the lesions; there was a two-fold reduction of luminance contrast sensitivity as well as red-green chromatic contrast sensitivity, both tested with stationary gratings. On the other hand, little or no loss was found when contrast sensitivity for detection or direction discrimination was tested with 10–Hz drifting gratings nor was there a reliable change in visual acuity. Hue and luminance matching were tested with a spatially more complex matching-to-sample task, but monkeys could not learn this task in the visual field locus of a V4 lesion. If previously trained at this locus, performance was not affected by the lesion. In contrast to the small effects on basic visual capabilities, performance on two form discrimination tasks was devastated by V4 lesions. The first involved discriminating the orientation of colinear groups of dots on a background of randomly placed dots. The second involved discriminating the orientation of a group of three line segments surrounded by differently oriented line segments. Some selectivity of the deficitsfor form discrimination was shown by the lack of an effect of the lesions on a global motion discrimination. These results show that while V4 lesions cause only slight disruptions of basic visual capacities, they profoundly disrupt form discriminations.
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Hopf, Jens-Max, Edward Vogel, Geoffrey Woodman, Hans-Jochen Heinze, and Steven J. Luck. "Localizing Visual Discrimination Processes in Time and Space." Journal of Neurophysiology 88, no. 4 (October 1, 2002): 2088–95. http://dx.doi.org/10.1152/jn.2002.88.4.2088.

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Previous studies of visual processing in humans using event-related potentials (ERPs) have demonstrated that task-related modulations of an early component called the “N1” wave (140–200 ms) reflect the operation of a voluntary discrimination process. Specifically, this component is larger in tasks requiring target discrimination than in tasks requiring simple detection. The present study was designed to localize this discriminative process in both time and space by means of combined magnetoencephalographic (MEG) and ERP recordings. Discriminative processing led to differential ERP and MEG activity beginning within 150 ms of stimulus onset. Source localization of the combined ERP/MEG data was performed using anatomical constraints from structural magnetic resonance images. These analyses revealed highly reliable and focused activity in regions of inferior occipital-temporal cortex. These findings indicate that the earliest measurable correlates of discriminative operations in the visual system appear as neural activity in circumscribed regions of the ventral processing stream.
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SCULLY, ERIN N., MARTIN J. ACERBO, and OLGA F. LAZAREVA. "Bilateral lesions of nucleus subpretectalis/interstitio-pretecto-subpretectalis (SP/IPS) selectively impair figure–ground discrimination in pigeons." Visual Neuroscience 31, no. 1 (October 9, 2013): 105–10. http://dx.doi.org/10.1017/s0952523813000424.

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AbstractEarlier, we reported that nucleus rotundus (Rt) together with its inhibitory complex, nucleus subpretectalis/interstitio-pretecto-subpretectalis (SP/IPS), had significantly higher activity in pigeons performing figure–ground discrimination than in the control group that did not perform any visual discriminations. In contrast, color discrimination produced significantly higher activity than control in the Rt but not in the SP/IPS. Finally, shape discrimination produced significantly lower activity than control in both the Rt and the SP/IPS. In this study, we trained pigeons to simultaneously perform three visual discriminations (figure–ground, color, and shape) using the same stimulus displays. When birds learned to perform all three tasks concurrently at high levels of accuracy, we conducted bilateral chemical lesions of the SP/IPS. After a period of recovery, the birds were retrained on the same tasks to evaluate the effect of lesions on maintenance of these discriminations. We found that the lesions of the SP/IPS had no effect on color or shape discrimination and that they significantly impaired figure–ground discrimination. Together with our earlier data, these results suggest that the nucleus Rt and the SP/IPS are the key structures involved in figure–ground discrimination. These results also imply that thalamic processing is critical for figure–ground segregation in avian brain.
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MERIGAN, WILLIAM H., and HONG AN PHAM. "V4 lesions in macaques affect both single- and multiple-viewpoint shape discriminations." Visual Neuroscience 15, no. 2 (February 1998): 359–67. http://dx.doi.org/10.1017/s0952523898152112.

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The role of cortical area V4 in complex shape discriminations was studied by testing the effects of V4 lesions in macaques on the ability to visually discriminate between images of three-dimensional (3D) objects from different viewpoints. Stimuli were presented in pairs in the lower left or lower right visual field quadrants about 4 deg from the fovea, and the monkeys judged on each trial whether the two views were of the same or of different objects. Object similarity was varied to determine a threshold shape difference. V4 lesions caused profound, retinotopic, and apparently permanent disruptions of discrimination, regardless of whether the images represented single or multiple viewpoints. In V4 lesioned portions of the visual field, monkeys could discriminate objects only when they differed much more grossly in shape than was true in control locations. These effects of the lesion were virtually identical for discriminations that had been learned before lesions were placed and for those learned afterwards. As in previous studies, V4 lesions elevated contrast thresholds by approximately a factor of two, but control observations showed that this was not the basis of the disruption of shape discrimination. Manipulation of cues to shape showed that in control locations, monkeys maintained excellent shape discrimination despite a variety of stimulus alterations, whereas in V4 lesioned areas their performance was easily disrupted. This finding suggests that V4 may support visual shape discriminations by facilitating the use of multiple visual cues. However, the fact that single-viewpoint and multiple-viewpoint discriminations were similarly affected indicates that the disruption was not specific to 3D shape discrimination, but may apply to a variety of subtle discriminations.
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Fukuda, Kyosuke. "Analysis of Eyeblink Activity during Discriminative Tasks." Perceptual and Motor Skills 79, no. 3_suppl (December 1994): 1599–608. http://dx.doi.org/10.2466/pms.1994.79.3f.1599.

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To evaluate the blinking pattern during and after cognitive processing, 10 subjects' eyeblinks were recorded by a videotape recording camera placed 100 cm from the subjects' side. The subjects' task was to discriminate two kinds of auditory tones presented serially and to discriminate two kinds of visual stimuli presented serially. Treatments were composed of the baseline condition preexperiment, the visual task with no discrimination, the visual discriminative task, the auditory task with no discrimination, and the auditory discriminative task. The blink rate in each treatment, the temporal distribution of blinks poststimulus, and the blink waveform were evaluated. Although blinks were not inhibited during tasks, frequent blinks after tasks were observed in both modalities. Blinks concentrated between 300 msec. and 800 msec. after the discriminated stimulus and formulated the blink-rate peak. The closing velocity of lid in the blink rate peak was lower after auditory stimulus. Moreover, the lid's opening velocity after the auditory discrimination was higher. These results indicated that the eyelid closed slowly and opened quickly after the auditory discriminative stimulus.
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Seider, T., E. Porges, A. Woods, and R. Cohen. "C-19 An fMRI Study of Age-Associated Changes in Basic Visual Discrimination." Archives of Clinical Neuropsychology 34, no. 6 (July 25, 2019): 1048. http://dx.doi.org/10.1093/arclin/acz034.181.

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Abstract Objective The study was conducted to determine age-associated changes in functional brain response, measured with fMRI, during visual discrimination with regard to three elementary components of visual perception: shape, location, and velocity. A secondary aim was to validate the method used to isolate the hypothesized brain regions associated with these perceptual functions. Method Items from the Visual Assessment Battery (VAB), a simultaneous match-to-sample task, assessed visual discrimination in 40 healthy adults during fMRI. Participants were aged 51-91 and recruited from a larger community sample for a study on normal aging. The tasks were designed to isolate neural recruitment during discrimination of either location, shape, or velocity by using tasks that were identical aside from the perceptual skill required to complete them. Results The Location task uniquely activated the dorsal visual processing stream, the Shape task the ventral stream, and the Velocity task V5/MT. Greater age was associated with greater neural recruitment, particularly in frontal areas (uncorrected voxel-level p < .001, family-wise error cluster-level p□.05). Conclusions Results validated the specialization of brain regions for spatial, perceptual, and movement discriminations and the use of the VAB to assess functioning localized to these regions. Anterior neural recruitment during visual discrimination increases with age.
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Feng, W., V. S. Stormer, A. Martinez, J. J. McDonald, and S. A. Hillyard. "Sounds Activate Visual Cortex and Improve Visual Discrimination." Journal of Neuroscience 34, no. 29 (July 16, 2014): 9817–24. http://dx.doi.org/10.1523/jneurosci.4869-13.2014.

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Goldstein, Laura H., and David A. Oakley. "Visual discrimination in the absence of visual cortex." Behavioural Brain Research 24, no. 3 (June 1987): 181–93. http://dx.doi.org/10.1016/0166-4328(87)90056-8.

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Dissertations / Theses on the topic "Visual discrimination"

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Weikum, Whitney Marie. "Visual language discrimination." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/481.

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Recognizing and learning one’s native language requires knowledge of the phonetic and rhythmical characteristics of the language. Few studies address the rich source of language information available in a speaker’s face. Solely visual speech permits language discrimination in adults (Soto-Faraco et al., 2007). This thesis tested infants and adults on their ability to use only information available in a speaker’s face to discriminate rhythmically dissimilar languages. Monolingual English infants discriminated French and English using only visual speech at 4 and 6 months old, but failed this task at 8 months old. To test the role of language experience, bilingual (English/French) 6 and 8-month-old infants were tested and successfully discriminated the languages. An optimal period for sensitivity to visual language information necessary for discriminating languages may exist in early life. To confirm an optimal period, adults who had acquired English as a second language were tested. If English was learned before age 6 years, adults discriminated English and French, but if English was learned after age 6, adults performed at chance. Experience with visual speech information in early childhood influences adult performance. To better understand the developmental trajectory of visual language discrimination, visual correlates of phonetic segments and rhythmical information were examined. When clips were manipulated to remove rhythmical information, infants used segmental visual phonetic cues to discriminate languages at 4, but not 8 months old. This suggests that a decline in non-native visual phonetic discrimination (similar to the decline seen for non-native auditory phonetic information; Werker & Tees, 1984), may be impairing language discrimination at 8 months. Infants as young as newborn use rhythmical auditory information to discriminate languages presented forward, but not backward (Mehler et al., 1988). This thesis showed that both 4 and 8-month-old infants could discriminate French from English when shown reversed language clips. Unlike auditory speech, reversed visual speech must conserve cues that permit language discrimination. Infants’ abilities to distinguish languages using visual speech parallel auditory speech findings, but also diverge to highlight unique characteristics of visual speech. Together, these studies further enrich our understanding of how infants come to recognize and learn their native language(s).
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Lages, Martin. "Bias in visual discrimination and detection." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298304.

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Martinez, Laura. "Auditory-visual intermodal discrimination in chimpanzees." 京都大学 (Kyoto University), 2009. http://hdl.handle.net/2433/126577.

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Kyoto University (京都大学)
0048
新制・課程博士
博士(理学)
甲第14990号
理博第3469号
新制||理||1508(附属図書館)
27440
UT51-2009-R714
京都大学大学院理学研究科生物科学専攻
(主査)教授 松沢 哲郎, 准教授 友永 雅己, 教授 髙井 正成
学位規則第4条第1項該当
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De, Pasquale Roberto. "Visual discrimination learning and LTP-like changes in primary visual cortex." Doctoral thesis, Scuola Normale Superiore, 2009. http://hdl.handle.net/11384/85939.

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Mulder, Jan A. "Using discrimination graphs to represent visual knowledge." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/25943.

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This dissertation is concerned with the representation of visual knowledge. Image features often have many different local interpretations. As a result, visual interpretations are often ambiguous and hypothetical. In many model-based vision systems the problem of representing ambiguous and hypothetical interpretations is not very specifically addressed. Generally, specialization hierarchies are used to suppress a potential explosion in local interpretations. Such a solution has problems, as many local interpretations cannot be represented by a single hierarchy. As well, ambiguous and hypothetical interpretations tend to be represented along more than one knowledge representation dimension limiting modularity in representation and control. In this dissertation a better solution is proposed. Classes of objects which have local features with similar appearance in the image are represented by discrimination graphs. Such graphs are directed and acyclic. Their leaves represent classes of elementary objects. All other nodes represent abstract (and sometimes unnatural) classes of objects, which intensionally represent the set of elementary object classes that descend from them. Rather than interpreting each image feature as an elementary object, we use the abstract class that represents the complete set of possible (elementary) objects. Following the principle of least commitment, the interpretation of each image feature is repeatedly forced into more restrictive classes as the context for the image feature is expanded, until the image no longer provides subclassification information. This approach is called discrimination vision, and it has several attractive features. First, hypothetical and ambiguous interpretations can be represented along one knowledge representation dimension. Second, the number of hypotheses represented for a single image feature can be kept small. Third, in an interpretation graph competing hypotheses can be represented in the domain of a single variable. This often eliminates the need for restructuring the graph when a hypothesis is invalidated. Fourth, the problem of resolving ambiguity can be treated as a constraint satisfaction problem which is a well researched problem in Computational Vision. Our system has been implemented as Mapsee-3, a program for interpreting sketch maps. A hierarchical arc consistency algorithm has been used to deal with the inherently hierarchical discrimination graphs. Experimental data show that, for the domain implemented, this algorithm is more efficient than standard arc consistency algorithms.
Science, Faculty of
Computer Science, Department of
Graduate
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Saylor, Stephanie A. "CONTEXTUAL EFFECTS ON FINE ORIENTATION DISCRIMINATION TASKS." Miami University / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=miami1061319633.

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Kelling, Angela S. "Simple visual discrimination training of the giant panda (Ailuropoda melanoleuca)." Thesis, Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04072004-180031/unrestricted/kelling%5Fangela%5Fs%5F200312%5Fms.pdf.

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Ocansey, Stephen. "How does visual crowding interfere with depth discrimination?" Thesis, Anglia Ruskin University, 2016. http://arro.anglia.ac.uk/701527/.

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The presence of flanking targets can impair depth discrimination, presumably through a form of lateral interaction or visual crowding. This study investigates how stereoscopic crowding interferes with foveal depth discrimination when tests and flanking stimuli of different spatial configuration are located on and off the horopter in normal subjects by using psychophysical means. The magnitude of crowding increased when the flanking bars were in close spatial proximity to the test, between 1 to 2 arc min, and returned to unflanked levels for wider separations of 4 arc min and beyond. The magnitude of crowding depended on the extent to which the test and the flanking bars width matched. When flankers were placed at the optimum crowding distance (OCD) and displaced off the horopter, crowding reduced but the flanker effect was restored at greater flanker disparity. On the contrary, flankers positioned at the least crowding distance (LCD) at the onset generally showed an increase in thresholds from the fixation plane with increasing flanker disparity. Crowding was produced at similar small test- flanker separation for the range of 0.5 to 4 cpd flanker spatial frequency composition used. The magnitude of crowding was greater for test and flanker of similar spatial frequency, though some crowding was produced when their spatial frequency differed. Overall, the results confirm previous reports showing that depth discrimination thresholds increase in the presence of flanking contours, but in addition suggest that disparity integration relative to the fixation demonstrates a dichotomy of fine and coarse mechanisms driven by salience attraction. Additionally, the results show that the crowding effect can be reduced by depth cues related to the width, and disparity of flanking stimuli. The crowding effect may be attributed to the action of local disparity interactions, but suggest the involvement of Gestalt factors (for larger flanker widths) and luminance flux (for thinner flanker widths) factors.
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Ocansey, Stephen. "How does visual crowding interfere with depth discrimination?" Thesis, Anglia Ruskin University, 2016. https://arro.anglia.ac.uk/id/eprint/701527/1/Ocansey_2016b.pdf.

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The presence of flanking targets can impair depth discrimination, presumably through a form of lateral interaction or visual crowding. This study investigates how stereoscopic crowding interferes with foveal depth discrimination when tests and flanking stimuli of different spatial configuration are located on and off the horopter in normal subjects by using psychophysical means. The magnitude of crowding increased when the flanking bars were in close spatial proximity to the test, between 1 to 2 arc min, and returned to unflanked levels for wider separations of 4 arc min and beyond. The magnitude of crowding depended on the extent to which the test and the flanking bars width matched. When flankers were placed at the optimum crowding distance (OCD) and displaced off the horopter, crowding reduced but the flanker effect was restored at greater flanker disparity. On the contrary, flankers positioned at the least crowding distance (LCD) at the onset generally showed an increase in thresholds from the fixation plane with increasing flanker disparity. Crowding was produced at similar small test- flanker separation for the range of 0.5 to 4 cpd flanker spatial frequency composition used. The magnitude of crowding was greater for test and flanker of similar spatial frequency, though some crowding was produced when their spatial frequency differed. Overall, the results confirm previous reports showing that depth discrimination thresholds increase in the presence of flanking contours, but in addition suggest that disparity integration relative to the fixation demonstrates a dichotomy of fine and coarse mechanisms driven by salience attraction. Additionally, the results show that the crowding effect can be reduced by depth cues related to the width, and disparity of flanking stimuli. The crowding effect may be attributed to the action of local disparity interactions, but suggest the involvement of Gestalt factors (for larger flanker widths) and luminance flux (for thinner flanker widths) factors.
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Fraser, Ian Hamilton. "Temporal discrimination and integration in visual pattern perception." Thesis, University of Aberdeen, 1986. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU003837.

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The literature on models of pattern recognition was reviewed and it was revealed that there is a paucity of information concerning temporal factors and their effects on pattern perception. A method for ivestigating these aspects was outlined which entails the fragmentation of a stimulus and its presentation over time. This type of stimulus presentation has revealed that the visual system appears to harbour biases towards parsing the internal or external features from the outline. In addition there were perceptual advantages in terms of processing speed and fewer errors when the outline occurred first in the sequence of stimulus fragments. Both of these biases appear strongest when meaningful as opposed to non-representational stimuli are used. It was concluded that these results can be best explained in terms of a two stage processing model. The first stage involves a process of building up an internal representation (much along the lines of David Marr's model). The second stage involves a cognitively driven scanning process which compares the representation with the items in the subject's picture vocabulary. This scanning process is probably hierarchically organised.
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Books on the topic "Visual discrimination"

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Evamy, Barbara. Auditory & visual discrimination exercises: A teacher's aid. [Great Britain]: B. Evamy, 2003.

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L, Nilsson Isak, and Lindberg William V, eds. Visual perception: New research. Hauppauge, N.Y: Nova Science Publishers, Inc., 2008.

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Geri, George A. Texture discrimination research using an IBM PC. Brooks Air Force Base, Tex: Air Force Systems Command, Air Force Human Resources Laboratory, 1990.

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Voltz, Christopher D. Shape discrimination research using an IBM PC. Brooks Air Force Base, Tex: Air Force Systems Command, Air Force Human Resources Laboratory, 1990.

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Cheal, MaryLou. Visual attention effects on discrimination of line orientation and line arrangement. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1987.

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Cheal, MaryLou. Attention effects on form discrimination at different eccentricities. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1989.

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Joyce, Tombran-Tink, and Barnstable Colin J, eds. Visual transduction and non-visual light perception. Totowa, N.J: Humana Press, 2008.

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1947-, Swanston Michael, ed. Visual perception: An introduction. 3rd ed. New York: Routledge, 2012.

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Wade, Nicholas. Visual perception: An introduction. 2nd ed. London: Psychology Press, 2001.

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Kaminske, Volker. Die räumliche Wahrnehmung: Grundlage für Geographie und Kartographie. Darmstadt: WBG, Wissenschaftliche Buchgesellschaft, 2012.

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Book chapters on the topic "Visual discrimination"

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Jerskey, Beth A. "Visual Form Discrimination." In Encyclopedia of Clinical Neuropsychology, 2630–31. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1413.

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Jerskey, Beth A. "Visual Form Discrimination." In Encyclopedia of Clinical Neuropsychology, 1–3. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1413-2.

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Jerskey, Beth A. "Visual Form Discrimination." In Encyclopedia of Clinical Neuropsychology, 3616–18. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1413.

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Choi, Inho, and Daijin Kim. "Facial Fraud Discrimination Using Detection and Classification." In Advances in Visual Computing, 199–208. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17277-9_21.

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Mochizuki, Eri, Haruka Sone, Hayato Itoh, and Atsushi Imiya. "Subspace Discrimination Method for Images Using Singular Value Decomposition." In Advances in Visual Computing, 287–98. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90436-4_23.

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Ohki, Keiichi, M. Emre Celebi, Gerald Schaefer, and Hitoshi Iyatomi. "Building of Readable Decision Trees for Automated Melanoma Discrimination." In Advances in Visual Computing, 712–21. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27863-6_67.

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Loss, Leandro A., and Clésio L. Tozzi. "Discrimination of Natural Contours by Means of Time-Scale-Frequency Decompositions." In Advances in Visual Computing, 684–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11595755_86.

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Mora-González, Miguel, Evelia Martínez-Cano, Francisco J. Casillas-Rodríguez, Francisco G. Peña-Lecona, Carlos A. Reyes-García, Jesús Muñoz-Maciel, and H. Ulises Rodríguez-Marmolejo. "Artificial Visual System Used for Dental Fluorosis Discrimination." In Emerging Challenges for Experimental Mechanics in Energy and Environmental Applications, Proceedings of the 5th International Symposium on Experimental Mechanics and 9th Symposium on Optics in Industry (ISEM-SOI), 2015, 165–71. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28513-9_23.

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Kumagai, T., T. Takeda, and H. Endo. "Measurement of MEG Evoked by Visual Discrimination Task." In Biomag 96, 813–16. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1260-7_199.

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Cutellic, Pierre. "Growing Shapes with a Generalised Model from Neural Correlates of Visual Discrimination." In Proceedings of the 2020 DigitalFUTURES, 68–78. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4400-6_7.

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AbstractThis paper focuses on the application of visual Event-Related Potentials (ERP) in better generalisations for design and architectural modelling. It makes use of previously built techniques and trained models on EEG signals of a singular individual and observes the robustness of advanced classification models to initiate the development of presentation and classification techniques for enriched visual environments by developing an iterative and generative design process of growing shapes. The pursued interest is to observe if visual ERP as correlates of visual discrimination can hold in structurally similar, but semantically different, experiments and support the discrimination of meaningful design solutions. Following bayesian terms, we will coin this endeavour a Design Belief and elaborate a method to explore and exploit such features decoded from human visual cognition.
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Conference papers on the topic "Visual discrimination"

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Smith, Vivianne C., Joel Pokorny, and Tsaiyao Yeh. "L-cone discrimination and pigment tests." In Noninvasive Assessment of the Visual System. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/navs.1992.suc2.

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We have previously discussed how to express FM 100-hue test data in an S-cone discrimination space (Pokorny et al, 1990; Yeh et al, 1991). Here we extend this endeavor to L- and M-cone mediated discriminations. Additionally, we now include a variety of arrangement tests, including the FM 100-hue test, the Farnsworth Panel D-15, the desaturated Panel D-15d, and the Lanthony New Color Test. The rationale for this work lies in the observation that chromaticity discrimination is economically described (Boynton & Kambe, 1980) within the framework of the MacLeod & Boynton (1979) cone excitation space. Physiological studies in the macaque indicate that at the retinal ganglion and lateral geniculate level, chromatic processing is organized in the Parvocellular processing stream. Two major classes of cells show discrimination on two independent "cardinal axes" (Derrington et al, 1984). The macaque Parvocellular and the human cardinal axes are closely similar (Krauskopf et al, 1982). The majority of acquired color defects seen by clinicians arise from retinal or optic nerve disorders. Thus errors should develop along the major axes of cone excitation space. The purpose of this talk is to describe how the error scores on arrangement tests can be related to chromaticity discrimination mediated by relative L-cone discrimination.
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Eisner, Alvin. "D-15 Test Results in People Aged Sixty and Older." In Noninvasive Assessment of the Visual System. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/navs.1986.wa3.

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The Farnsworth Dichotomous Test for Color Blindness (Panel D-15), often called simply the D-15 test, is an easy to administer arrangement test which is designed to fail those individuals having severe color discrimination loss. The test is very successful at detecting and classifying congenital dichromacy or anomalous trichromacy in which color discrimination is very poor. Because the test is readily obtainable and is easy to administer and score, it often is used to ascertain visual loss due to acquired defects or changes. When used in this manner, either tritan errors (those errors associated with a decrease of blue cone mediated discrimination) or errors associated with a diffuse loss of chromatic discriminative ability are of interest. This paper discusses briefly the relationship between these types of errors and blue cone sensitivity as measured with a threshold task in a population of normal individuals aged sixty and older.
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Morgado, Pedro, Ishan Misra, and Nuno Vasconcelos. "Robust Audio-Visual Instance Discrimination." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.01274.

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Silsbee, Peter L., and Alan C. Bovik. "Audio-visual speech recognition for a vowel discrimination task." In Visual Communications '93, edited by Barry G. Haskell and Hsueh-Ming Hang. SPIE, 1993. http://dx.doi.org/10.1117/12.157855.

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Schuchard, Ronald A. "Contrast Discrimination in Observers with Vision Loss." In Noninvasive Assessment of the Visual System. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/navs.1992.mb4.

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Many people with vision loss have difficulty identifying objects encountered in common daily experiences. The measurement of contrast thresholds over a range of spatial frequencies (contrast sensitivity function) has been investigated in low vision observers to explain these difficulties and to recommend techniques for better identification by compensating for reduced contrast sensitivity. However, objects encountered in common daily experiences are rarely viewed in low contrast environments. Although contrast discrimination functions have been shown to be similar in shape and superimposed when normalized by the contrast thresholds in normally sighted observers (e.g., Legge and Kersten, 1987), very little is known about the contrast discrimination function for observers with low vision. That is, while the entire contrast discrimination function can be specified by the contrast sensitivity function for a stimulus in normally sighted observers, it is not known whether this relationship is also true for observers with vision loss. Leat and Millodot (1990) report that contrast discrimination and contrast sensitivity are independent in observers with vision loss. Therefore, it is possible that identification of suprathreshold objects has no relationship to the contrast sensitivity function in observers with vision loss (e.g., Rubin and Schuchard, 1990). The characteristics of contrast discrimination functions in observers with vision loss were studied as they related to the contrast sensitivity functions.
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Johnson, Jeffrey P., Jeffrey Lubin, John S. Nafziger, and Dev P. Chakraborty. "Visual discrimination modeling of lesion detectability." In Medical Imaging 2002, edited by Dev P. Chakraborty and Elizabeth A. Krupinski. SPIE, 2002. http://dx.doi.org/10.1117/12.462684.

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Johnson, Jeffrey P., Jeffrey Lubin, Elizabeth A. Krupinski, Heidi A. Peterson, Hans Roehrig, and Andrew Baysinger. "Visual discrimination model for digital mammography." In Medical Imaging '99, edited by Elizabeth A. Krupinski. SPIE, 1999. http://dx.doi.org/10.1117/12.349650.

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Tomono, Takao, Kazuya Tsujimura, and Takumi Godo. "Quantum Kernels for Difficult Visual Discrimination." In 2023 IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE, 2023. http://dx.doi.org/10.1109/qce57702.2023.10234.

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Smith, Vivianne C., Joel Pokorny, and Arlene Pass. "Development of blue-yellow discrimination loss with age." In Noninvasive Assessment of Visual Function. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/navf.1985.tua6.

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The Farnsworth-Munsell 100-hue (FM 100-hue) test is a sensitive test for clinical evaluation of color vision discrimination. Norms both for total error scores in the population and for inter-eye comparisons as a function of age have been published (Verriest, J. Opt. Soc. Amer. 53:185, 1963; Verriest, van Laethem & Uvijls, Amer. J. Ophthal. 93: 635, 1982). However there are no data describing the development of a color axis with age.
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Drum, Bruce, Harry Quigley, and James Roros. "Practice Selectively Improves Pattern Discrimination in Glaucoma." In Noninvasive Assessment of the Visual System. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/navs.1990.we2.

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For the past several years, we have been working to develop a new visual field testing technique, called Pattern Discrimination Perimetry, for which the patient is asked to detect a nonrandom pattern of dots embedded in a large surrounding field of random dots. The overall densities of the dots in the target and surround fields are equal, so the patient cannot use luminance cues to detect the target. The features that distinguish the target pattern from the surround can be either the spatial arrangement of dots, the way the dots change in time, or a combination of both. In general, the visibility of the target depends on the degree of nonrandomness, or coherence, of the target dots. To measure the patient's sensitivity to a pattern, we reduce its coherence by randomizing just enough of the target dots to make the pattern undetectable.
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Reports on the topic "Visual discrimination"

1

Hirsch, Joy. Limits of Human Visual Discrimination: Toward a General Model of Visual Geometry. Fort Belvoir, VA: Defense Technical Information Center, March 1990. http://dx.doi.org/10.21236/ada226826.

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Sajda, Paul, and Leif H. Finkel. Computer Simulations of Object Discrimination by Visual Cortex,. Fort Belvoir, VA: Defense Technical Information Center, January 1992. http://dx.doi.org/10.21236/ada253345.

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Scassellati, Brian. Discriminating Animate from Inanimate Visual Stimuli. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada450287.

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Scassellati, Brian. Discriminating Animate from Inanimate Visual Stimuli. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada434714.

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Regan, David. Visual Sensitivities and Discriminations and Their Roles in Aviation. Fort Belvoir, VA: Defense Technical Information Center, March 1986. http://dx.doi.org/10.21236/ada170418.

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