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Journal articles on the topic 'Visual grouping'

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Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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1

Ben-Av, Mercedes Barchilon, Dov Sagi, and Jochen Braun. "Visual attention and perceptual grouping." Perception & Psychophysics 52, no. 3 (May 1992): 277–94. http://dx.doi.org/10.3758/bf03209145.

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2

Mastropasqua, Tommaso, and Massimo Turatto. "Perceptual Grouping Enhances Visual Plasticity." PLoS ONE 8, no. 1 (January 2, 2013): e53683. http://dx.doi.org/10.1371/journal.pone.0053683.

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3

Mazza, Veronica, and Alfonso Caramazza. "Perceptual Grouping and Visual Enumeration." PLoS ONE 7, no. 11 (November 30, 2012): e50862. http://dx.doi.org/10.1371/journal.pone.0050862.

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4

Stein, Timo, Daniel Kaiser, and Marius V. Peelen. "Interobject grouping facilitates visual awareness." Journal of Vision 15, no. 8 (June 26, 2015): 10. http://dx.doi.org/10.1167/15.8.10.

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5

Bock, J. M., A. F. Monk, and C. Hulme. "Perceptual grouping in visual word recognition." Memory & Cognition 21, no. 1 (January 1993): 81–88. http://dx.doi.org/10.3758/bf03211167.

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6

Fox, Elaine. "Perceptual grouping and visual selective attention." Perception & Psychophysics 60, no. 6 (September 1998): 1004–21. http://dx.doi.org/10.3758/bf03211935.

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7

Berryhill, M., and D. Peterson. "Grouping Principles in Visual Working Memory." Journal of Vision 12, no. 9 (August 10, 2012): 294. http://dx.doi.org/10.1167/12.9.294.

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8

Wang, Lijun, Huchuan Lu, and Dong Wang. "Visual Tracking via Structure Constrained Grouping." IEEE Signal Processing Letters 22, no. 7 (July 2015): 794–98. http://dx.doi.org/10.1109/lsp.2014.2369476.

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9

Robertson, Lynn C., Mirjam Eglin, and Robert Knight. "Grouping Influences in Unilateral Visual Neglect." Journal of Clinical and Experimental Neuropsychology 25, no. 3 (May 2003): 297–307. http://dx.doi.org/10.1076/jcen.25.3.297.13805.

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10

Zhang, S. "Grouping of visual objects by honeybees." Journal of Experimental Biology 207, no. 19 (September 1, 2004): 3289–98. http://dx.doi.org/10.1242/jeb.01155.

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11

Rensink, R. A. "Grouping in visual short-term memory." Journal of Vision 1, no. 3 (March 14, 2010): 126. http://dx.doi.org/10.1167/1.3.126.

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12

McCollough, A., B. Dungan, and E. Vogel. "Proximity Grouping in Visual Working Memory." Journal of Vision 10, no. 7 (August 11, 2010): 735. http://dx.doi.org/10.1167/10.7.735.

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13

Alais, David, and Randolph Blake. "Grouping visual features during binocular rivalry." Vision Research 39, no. 26 (December 1999): 4341–53. http://dx.doi.org/10.1016/s0042-6989(99)00146-7.

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14

Boutsen, Luc, and Glyn W. Humphreys. "Axis-based grouping reduces visual extinction." Neuropsychologia 38, no. 6 (June 2000): 896–905. http://dx.doi.org/10.1016/s0028-3932(99)00127-x.

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15

Guoshen Yu and J. J. Slotine. "Visual Grouping by Neural Oscillator Networks." IEEE Transactions on Neural Networks 20, no. 12 (December 2009): 1871–84. http://dx.doi.org/10.1109/tnn.2009.2031678.

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16

Xu, Y., and M. M. Chun. "Visual grouping in human parietal cortex." Proceedings of the National Academy of Sciences 104, no. 47 (November 12, 2007): 18766–71. http://dx.doi.org/10.1073/pnas.0705618104.

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17

Roelfsema, P. "Visual cortical mechanisms for perceptual grouping." Journal of Vision 13, no. 9 (July 25, 2013): 1372. http://dx.doi.org/10.1167/13.9.1372.

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18

Boles, David B., and Sebastiano Bagnara. "Proximity Grouping and Information Processing of Visual Displays." Proceedings of the Human Factors Society Annual Meeting 30, no. 8 (September 1986): 781–85. http://dx.doi.org/10.1177/154193128603000811.

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The Gestalt principle of proximity grouping was investigated as a possible source of design principles for visual displays. The results from four letter matching tasks indicate that the effect of grouping depended on the task. Specifically, rhyme matches showed an effect of grouping which was twice as large as that for physical, name, or category matches. It may be that tasks requiring the phonetic coding of information will benefit most from proximity grouping, although tasks requiring visual, visual associative, or categorical coding may also benefit to a lesser degree.
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19

Nagasaka, Yasuo, Koji Hori, and Yoshihisa Osada. "Perceptual Grouping in Pigeons." Perception 34, no. 5 (May 2005): 625–32. http://dx.doi.org/10.1068/p5402.

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Animal studies reveal that many species perceive partially occluded objects in the same way as do humans. Pigeons have been a notable exception. We re-investigated this anomaly of pigeon perception using a different approach from previous studies. With our method, we show that pigeons perceive occluded objects in the same manner as do other species. In addition, we report that pigeons can recognize perceptually transparent surfaces when the effect is induced by the same perceptual mechanisms as occlusion. These results give behavioral evidence that the perception of both occlusion and transparency is a common visual function shared by pigeons and humans, despite the structural differences between their visual systems.
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20

AOKI, Kota, and Hiroshi NAGAHASHI. "Visual Correspondence Grouping via Local Consistent Neighborhood." IEICE Transactions on Information and Systems E96.D, no. 6 (2013): 1351–58. http://dx.doi.org/10.1587/transinf.e96.d.1351.

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21

Duncan, John. "Target and nontarget grouping in visual search." Perception & Psychophysics 57, no. 1 (January 1995): 117–20. http://dx.doi.org/10.3758/bf03211854.

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22

Kon, Maria, and Gregory Francis. "Perceptual Grouping Strategies in Visual Search Tasks." Journal of Vision 20, no. 11 (October 20, 2020): 694. http://dx.doi.org/10.1167/jov.20.11.694.

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23

Qiu, Cheng, and Alan A. Stocker. "Grouping and segregation in visual working memory." Journal of Vision 20, no. 11 (October 20, 2020): 932. http://dx.doi.org/10.1167/jov.20.11.932.

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24

Violentyev, A., and L. Shams. "Effects of auditory grouping on visual percept." Journal of Vision 4, no. 8 (August 1, 2004): 698. http://dx.doi.org/10.1167/4.8.698.

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25

Palanca, Ben J. A., and Gregory C. DeAngelis. "Does Neuronal Synchrony Underlie Visual Feature Grouping?" Neuron 46, no. 2 (April 2005): 333–46. http://dx.doi.org/10.1016/j.neuron.2005.03.002.

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26

Fendrich, R., P. Corballis, and B. Schott. "Mechanisms of visual grouping investigated with fMRI." Journal of Vision 1, no. 3 (March 15, 2010): 387. http://dx.doi.org/10.1167/1.3.387.

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27

Corballis, Paul M. "Visual grouping and the right-hemisphere interpreter." International Congress Series 1250 (October 2003): 447–57. http://dx.doi.org/10.1016/s0531-5131(03)01012-4.

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28

Gilmore, G. C., T. R. Tobias, and F. L. Royer. "Aging and Similarity Grouping in Visual Search." Journal of Gerontology 40, no. 5 (September 1, 1985): 586–92. http://dx.doi.org/10.1093/geronj/40.5.586.

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29

Buhmann, J. M., J. Malik, and P. Perona. "Image recognition: Visual grouping, recognition, and learning." Proceedings of the National Academy of Sciences 96, no. 25 (December 7, 1999): 14203–4. http://dx.doi.org/10.1073/pnas.96.25.14203.

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30

Fennell, John, Charlotte Goodwin, Jeremy F. Burn, and Ute Leonards. "How visual perceptual grouping influences foot placement." Royal Society Open Science 2, no. 7 (July 2015): 150151. http://dx.doi.org/10.1098/rsos.150151.

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Everybody would agree that vision guides locomotion; but how does vision influence choice when there are different solutions for possible foot placement? We addressed this question by investigating the impact of perceptual grouping on foot placement in humans. Participants performed a stepping stone task in which pathways consisted of target stones in a spatially regular path of foot falls and visual distractor stones in their proximity. Target and distractor stones differed in shape and colour so that each subset of stones could be easily grouped perceptually. In half of the trials, one target stone swapped shape and colour with a distractor in its close proximity. We show that in these ‘swapped’ conditions, participants chose the perceptually groupable, instead of the spatially regular, stepping location in over 40% of trials, even if the distance between perceptually groupable steps was substantially larger than normal step width/length. This reveals that the existence of a pathway that could be traversed without spatial disruption to periodic stepping is not sufficient to guarantee participants will select it and suggests competition between different types of visual input when choosing foot placement. We propose that a bias in foot placement choice in favour of visual grouping exists as, in nature, sudden changes in visual characteristics of the ground increase the uncertainty for stability.
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31

Cocci, Giacomo, Davide Barbieri, Giovanna Citti, and Alessandro Sarti. "Cortical Spatiotemporal Dimensionality Reduction for Visual Grouping." Neural Computation 27, no. 6 (June 2015): 1252–93. http://dx.doi.org/10.1162/neco_a_00738.

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The visual systems of many mammals, including humans, are able to integrate the geometric information of visual stimuli and perform cognitive tasks at the first stages of the cortical processing. This is thought to be the result of a combination of mechanisms, which include feature extraction at the single cell level and geometric processing by means of cell connectivity. We present a geometric model of such connectivities in the space of detected features associated with spatiotemporal visual stimuli and show how they can be used to obtain low-level object segmentation. The main idea is to define a spectral clustering procedure with anisotropic affinities over data sets consisting of embeddings of the visual stimuli into higher-dimensional spaces. Neural plausibility of the proposed arguments will be discussed.
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32

Volberg, Gregor. "Right-Hemisphere Specialization for Contour Grouping." Experimental Psychology 61, no. 5 (May 15, 2014): 331–39. http://dx.doi.org/10.1027/1618-3169/a000252.

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Previous studies often revealed a right-hemisphere specialization for processing the global level of compound visual stimuli. Here we explore whether a similar specialization exists for the detection of intersected contours defined by a chain of local elements. Subjects were presented with arrays of randomly oriented Gabor patches that could contain a global path of collinearly arranged elements in the left or in the right visual hemifield. As expected, the detection accuracy was higher for contours presented to the left visual field/right hemisphere. This difference was absent in two control conditions where the smoothness of the contour was decreased. The results demonstrate that the contour detection, often considered to be driven by lateral coactivation in primary visual cortex, relies on higher-level visual representations that differ between the hemispheres. Furthermore, because contour and non-contour stimuli had the same spatial frequency spectra, the results challenge the view that the right-hemisphere advantage in global processing depends on a specialization for processing low spatial frequencies.
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33

Grabowecky, Marcia, Lynn C. Robertson, and Anne Treisman. "Preattentive Processes Guide Visual Search: Evidence from Patients with Unilateral Visual Neglect." Journal of Cognitive Neuroscience 5, no. 3 (July 1993): 288–302. http://dx.doi.org/10.1162/jocn.1993.5.3.288.

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Preattentive processes such as perceptual grouping are thought to be important in the initial guidance of visual attention and may also operate in unilateral neglect by contributing to the definition of a task-appropriate reference frame. We explored this question with a visual search task in which patients with unilateral visual neglect (5 with right-, 2 with left-hemisphere damage) searched a diamond-shaped matrix for a conjunction target that shared one feature with each of two distractor elements. Additional grouping stimuli appeared as flanks either on the left, right, or both sides of the central matrix, and significantly changed performance in the search task. As expected, when flanks appeared only on the ipsilesional side a decrement in search performance was observed, but the further addition of contralesional flanks actually reduced the decrement and returned performance to near baseline levels. These data suggest that flanking stimuli on the neglected contralesional side of visual space can influence the reference frame by grouping with task-relevant stimuli, and that this preattentive influence can be preserved in patients with unilateral visual neglect.
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34

Yokoi, Isao, and Hidehiko Komatsu. "Putative Pyramidal Neurons and Interneurons in the Monkey Parietal Cortex Make Different Contributions to the Performance of a Visual Grouping Task." Journal of Neurophysiology 104, no. 3 (September 2010): 1603–11. http://dx.doi.org/10.1152/jn.00160.2010.

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Visual grouping of discrete elements is an important function for object recognition. We recently conducted an experiment to study neural correlates of visual grouping. We recorded neuronal activities while monkeys performed a grouping detection task in which they discriminated visual patterns composed of discrete dots arranged in a cross and detected targets in which dots with the same contrast were aligned horizontally or vertically. We found that some neurons in the lateral bank of the intraparietal sulcus exhibit activity related to visual grouping. In the present study, we analyzed how different types of neurons contribute to visual grouping. We classified the recorded neurons as putative pyramidal neurons or putative interneurons, depending on the duration of their action potentials. We found that putative pyramidal neurons exhibited selectivity for the orientation of the target, and this selectivity was enhanced by attention to a particular target orientation. By contrast, putative interneurons responded more strongly to the target stimuli than to the nontargets, regardless of the orientation of the target. These results suggest that different classes of parietal neurons contribute differently to the grouping of discrete elements.
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35

Sobel, Kenith V., Amrita M. Puri, and Jared Hogan. "Target grouping in visual search for multiple digits." Attention, Perception, & Psychophysics 77, no. 1 (August 26, 2014): 67–77. http://dx.doi.org/10.3758/s13414-014-0761-9.

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36

SANABRIA, D., S. SOTO-FARACO, J. S. CHAN, and C. SPENCE. "When does visual perceptual grouping affect multisensory integration?" Cognitive, Affective, & Behavioral Neuroscience 4, no. 2 (June 1, 2004): 218–29. http://dx.doi.org/10.3758/cabn.4.2.218.

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37

Han, Shihui, Yan Song, Yulong Ding, E. William Yund, and David L. Woods. "Neural substrates for visual perceptual grouping in humans." Psychophysiology 38, no. 6 (November 2001): 926–35. http://dx.doi.org/10.1111/1469-8986.3860926.

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38

Papathomas, T. V., I. Kovács, and A. Feher. "Interocular Grouping of Visual Attributes during Binocular Rivalry." Perception 26, no. 1_suppl (August 1997): 304. http://dx.doi.org/10.1068/v970377.

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The need to revise the eye competition hypothesis of binocular rivalry, and to include the role of stimulus competition has been demonstrated recently by Kovács, Papathomas, Feher, and Yang (1996 Proceedings of the National Academy of Sciences of the USA93 15508 – 15511) and Logothetis, Leopold, and Sheinberg [1996 Nature (London)380 621 – 624]. Kovács et al showed that observers can obtain one-colour percepts when presented with chromatically rivalrous stimuli, even when there are targets of two different colours in each eye. In this study we investigate whether other attributes, in addition to colour, can drive interocular grouping, and how they interact. We extended the ‘patchwork’ rivalrous stimuli (Kovács et al) to study how colour, orientation, spatial frequency, and motion can group interocularly, and how they interact in grouping. Gabor patches are used, because they allow conjunctions of attributes to be formed systematically. To study the ability of an attribute (or a combination of attributes) to group interocularly, we induce rivalry by virtue of interocular differences in that attribute (or combination), and keep the other attributes fixed in both eyes' images. The main advantage of these stimuli is that they enable us to decorrelate the effects of eye competition and percept competition in binocular rivalry. The data show that colour is the most powerful attribute in grouping, and that combinations are stronger than single attributes. Overall, the results indicate that similarity in low-level attributes can drive interocular grouping, and that binocular rivalry follows complex rules of perceptual organisation that cannot be accounted for by eye suppression alone.
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39

Sugita, Yoichi. "Grouping of image fragments in primary visual cortex." Nature 401, no. 6750 (September 1999): 269–72. http://dx.doi.org/10.1038/45785.

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40

Kasai, Tetsuko, and Mariko Kondo. "Electrophysiological correlates of attention-spreading in visual grouping." NeuroReport 18, no. 1 (January 2007): 93–98. http://dx.doi.org/10.1097/wnr.0b013e328011b8c9.

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41

Quinlan, Philip T., and Dale J. Cohen. "Grouping and binding in visual short-term memory." Journal of Experimental Psychology: Learning, Memory, and Cognition 38, no. 5 (2012): 1432–38. http://dx.doi.org/10.1037/a0027866.

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42

Low, Candace. "Grouping increases visual detection risk by specialist parasitoids." Behavioral Ecology 19, no. 3 (2008): 532–38. http://dx.doi.org/10.1093/beheco/arm157.

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43

Blake, R., and S. H. Lee. "Temporal precision of visual grouping from temporal structure." Journal of Vision 2, no. 7 (March 15, 2010): 233. http://dx.doi.org/10.1167/2.7.233.

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44

Feldman, J. "Perceptual grouping into visual "objects": A detailed chronology." Journal of Vision 2, no. 7 (March 14, 2010): 490. http://dx.doi.org/10.1167/2.7.490.

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45

Kim, Min-Shik, and Kyle R. Cave. "Grouping Effects on Spatial Attention in Visual Search." Journal of General Psychology 126, no. 4 (October 1999): 326–52. http://dx.doi.org/10.1080/00221309909595370.

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46

Carr, Vaughan J., Sally A. M. Dewis, and Terry J. Lewin. "Preattentive visual search and perceptual grouping in schizophrenia." Psychiatry Research 79, no. 2 (June 1998): 151–62. http://dx.doi.org/10.1016/s0165-1781(98)00035-3.

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47

Hwang, S., and S. C. Chong. "The effect of grouping on visual working memory." Journal of Vision 10, no. 7 (August 11, 2010): 767. http://dx.doi.org/10.1167/10.7.767.

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48

Kingstone, A., and W. F. Bischof. "Perceptual Grouping and Motion Coherence in Visual Search." Psychological Science 10, no. 2 (March 1999): 151–56. http://dx.doi.org/10.1111/1467-9280.00123.

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49

Rousson, Mikael, and Nikos Paragios. "Prior Knowledge, Level Set Representations & Visual Grouping." International Journal of Computer Vision 76, no. 3 (July 12, 2007): 231–43. http://dx.doi.org/10.1007/s11263-007-0054-z.

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50

Razpurker-Apfeld, Irene, and Hillel Pratt. "Perceptual visual grouping under inattention: Electrophysiological functional imaging." Brain and Cognition 67, no. 2 (July 2008): 183–96. http://dx.doi.org/10.1016/j.bandc.2008.01.005.

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