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Готові списки джерел за темами / Visual grouping

Добірка наукової літератури з теми "Visual grouping"

Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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Статті в журналах з теми "Visual grouping"

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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Дисертації з теми "Visual grouping"

1

Bock, Jacqueline Mary. "Perceptual grouping in visual word recognition." Thesis, University of York, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.254606.

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2

Turina, Andreas. "A geometric framework for visual grouping." [S.l. : s.n.], 2002. http://e-collection.ethbib.ethz.ch/ecol-pool/diss/fulltext/eth14919.pdf.

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3

Fixmer, Eric Norbert Charles. "Grouping of auditory and visual information in speech." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.612553.

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4

Chow, Hiu-mei, and 周曉薇. "The effect of perceptual grouping on selective attention." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B50899946.

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Perceptual grouping plays an indispensable role on attention distribution. An example of this interaction is the impaired visual search performance when the target overlaps with a task-irrelevant salient distractor organized to a snake-like configuration by collinear bars, and when the collinear distractor is long enough (Jingling & Tseng, 2013). This phenomenon is puzzling because it is opposite to our understanding of attention capture which predicts search facilitation instead of impairment. As an attempt to fully understand the interaction between perceptual grouping and attention, the current research probed the possible neural stage of this collinear search impairment effect. In Study 1, the distractor column of the search display was split into two eyes: one eye saw a distractor with varied length (= 1, 5, or 9 bars) while the other eye saw the rest of the distractor column. When both eyes were properly fused, observers saw a search display containing a 9-bar distractor. Observers were asked to identify the orientation of a target gap that could be overlapping or non-overlapping with the distractor. It was found that search impairment was dominated by monocular collinear distractor length. In Study 2, a 9-bar distractor was shown to one eye of observers and strong flashing color patches were shown to the other eye (Continuous Flash Suppression) such that part of the distractor was suppressed from observers’ awareness. It was found that invisible collinear distractor parts enhanced search impairment, suggesting awareness of the distractor is not necessary for the effect. Results from both studies converge to suggest that the effect of collinear grouping on attention is likely to be at early visual sites like V1 where monocular information but not awareness is processed. It highlights the need to incorporate perceptual grouping into current salience-based attention models.
published_or_final_version
Psychology
Master
Master of Philosophy

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5

Fan, Yu. "A study on audio-visual interaction: How visual temporal cues influence grouping of auditory events." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1544732438004088.

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6

King, Robert A. "Perceptual grouping selection rules in visual search : methods of sub-group selection in multiple target visual search tasks." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/32821.

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7

Poisson, Marie E. "Studies in visual search : effects of distractor ratio and local grouping processes." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=70299.

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According to Feature Integration Theory (Treisman & Gelade, 1980), search for a target defined by features on two different dimensions (e.g. green horizontal target among red horizontal and green vertical distractors) is conducted via serial attentive search of all items in the array. Results presented in this thesis clearly demonstrate that conjunction search is not conducted as a serial self-terminating search, and suggest that subjects selectively search a single feature set. Strong support is also provided for the role of local grouping processes in visual conjunction search. This includes evidence demonstrating: (1) that local context is an important factor in directing search toward the target, and (2) that groups of spatially adjacent homogeneous elements can be processed in parallel. These results point to the importance of spatial layout of target and distractor elements. More recent theories (e.g. Cave & Wolfe, 1990) will have to be amended in order to account for these data.

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8

McCollough, Andrew Willis 1974. "The Influence of Gestalt Grouping Principles on Active Visual Representations: Neurophysiological Evidence." Thesis, University of Oregon, 2011. http://hdl.handle.net/1794/11555.

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xiii, 143 p. : ill. (some col.)
The cognitive ability to group information into chunks is a well known phenomenon, however, the effects of chunking on visual representations is not well understood. Here we investigate the effects of visual chunking using Gestalt grouping principles in two tasks: visual working memory change detection and multiple object tracking. Though both these tasks have been used to study cognitive functions in the past, including object-based attention, attentional control and working memory capacity, the effect of grouping on mental representations in these tasks has not been well characterized. That is, while researches have measured effects of grouping on behavioral output in similar tasks, there are few studies of the effects of grouping on neurophysiological indices of object representations. Indeed, these current studies are the first to use event-related potentials (ERPs) to elucidate the effect of grouping on active mental representations of visual stimuli. In the visual working memory task, observers remembered either the color or orientation of pacman stimuli across a delay. We manipulated the collinearity of these objects, whether or not they formed a Kanizsa triangle figure, and measured the behavioral and electrophysiological effects. In the multiple object tracking task, a subset of identical stimuli were briefly cued as targets and then their motion was tracked by participants. We manipulated whether and which Gestalt heuristics were used to bind targets together during their motion and measured the effects on behavior and electrophysiology. In both tasks we compared the grouped to ungrouped conditions. We found that across experiments and tasks behavioral performance was enhanced in grouping conditions compared to ungrouped conditions. Furthermore, the waveforms evoked by grouped stimuli were reduced compared to waveforms produced in response to locally identical but ungrouped stimuli. These data suggest that the mental representation of visual objects may be reshaped moment-by-moment by grouping cues or task demand, giving rise to a flexible, active and dynamic yet parsimonious representation of the visual world.
Committee in charge: Edward K. Vogel, Chair; Edward Awh, Member; Ulrich Mayr, Member; Paul van Donkelaar, Outside Member

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9

Nardoni, Chiara. "Diffusion maps in the Subriemannian motion group and perceptual grouping." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6971/.

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Il presente lavoro è motivato dal problema della constituzione di unità percettive a livello della corteccia visiva primaria V1. Si studia dettagliatamente il modello geometrico di Citti-Sarti con particolare attenzione alla modellazione di fenomeni di associazione visiva. Viene studiato nel dettaglio un modello di connettività. Il contributo originale risiede nell'adattamento del metodo delle diffusion maps, recentemente introdotto da Coifman e Lafon, alla geometria subriemanniana della corteccia visiva. Vengono utilizzati strumenti di teoria del potenziale, teoria spettrale, analisi armonica in gruppi di Lie per l'approssimazione delle autofunzioni dell'operatore del calore sul gruppo dei moti rigidi del piano. Le autofunzioni sono utilizzate per l'estrazione di unità percettive nello stimolo visivo. Sono presentate prove sperimentali e originali delle capacità performanti del metodo.

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10

Abouzeid, Shadi. "A visual interactive grouping analysis tool (VIGAT) that takes mixed data types as input and provides visually interactive overlapping groups as output." Thesis, University of Strathclyde, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.401309.

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Книги з теми "Visual grouping"

1

F, Shipley Thomas, and Kellman Philip J, eds. From fragments to objects: Segmentation and grouping in vision. Amsterdam: Elsevier, 2001.

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2

Kellman, Philip J., and Thomas F. Shipley. From Fragments to Objects: Segmentation and Grouping in Vision. Elsevier Science & Technology Books, 2001.

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3

Wade, Nicholas J. Hidden Images. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0113.

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It is relatively easy to hide pictorial images, but this is of little value if they remain hidden. Presenting hidden images for visual purposes is a modern preoccupation, and some of the perceptual processes involved in them are described in this chapter. Pictorial images can be concealed in terms of detection or recognition. In both cases there is interplay between the global features of the concealed image and the local elements that carry it. Gestalt grouping principles can hinder as well as help recognition. Examples of images (mostly faces) hidden in geometrical designs and text as well as orientation are shown. Rather than being pictorial puzzles alone, hidden images can reveal aspects of visual processing. This chapter explores these concepts and related ideas such as perceptual portraits and pictorial puzzles.

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4

Ruxton, Graeme D., William L. Allen, Thomas N. Sherratt, and Michael P. Speed. Disruptive camouflage. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199688678.003.0003.

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Disruptive camouflage involves using coloration to hinder detection or recognition of an object’s outline, or other conspicuous features of its body. This involves using coloration to create ‘false’ edges that make the ‘true’ interior and exterior edges used by visual predators to find and recognize prey less apparent. Disruptive camouflage can therefore be thought of as a manipulation of the signal-to-noise ratio that depends on features of the perceptual processing of receivers. This chapter discusses the multiple mechanisms via which disruptive camouflage is thought to influence visual processing, from edge detection, through perceptual grouping, and then on to object recognition processing. This receiver-centred approach—rather than a prey-phenotype-centred approach—aims to integrate disruption within the sensory ecology of predator–prey interactions. We then discuss the taxonomic, ecological, and behavioural correlates of disruptive camouflage strategies, work on the relationship between disruption and other forms of protective coloration, and review the development of approaches to quantifying disruption in animals.

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5

Golan, Amos. Prior Information. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199349524.003.0008.

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In this chapter I introduce and quantify prior information and show how to incorporate it into the info-metrics framework. The priors developed arise from fundamental properties of the system, from logical reasoning, or from empirical observations. I start the chapter with the derivation of priors for discrete distributions, which can be handled via the grouping property, and a detailed derivation of surprisal analysis. Constructing priors for continuous distributions is more challenging. That problem is tackled via the method of transformation groups, which is related to the mathematical concept of group theory. That method works for both discrete and continuous functions. The last approaches I discuss are based on empirical information. The close relationship between priors, treatment effects, and score functions is discussed and demonstrated in the last section. Visual illustrations of the theory and numerous theoretical and applied examples are provided.

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6

Hein, Elisabeth. The Ternus Effect. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0099.

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The Ternus effect refers to an ambiguous apparent motion display in which two or three elements presented in succession and shifted horizontally by one position can be perceived as either a group of elements moving together or as one element jumping across the other(s). This chapter introduces the phenomenon and describes observations made by Pikler and Ternus in the beginning of the twentieth century. Next, reasons for continued interest in the Ternus effect are discussed and an overview of factors that influence it offered, including low-level image-based factors, for example luminance, as well as higher-level scene-based factors, for example perceptual grouping. The chapter ends with a discussion of theories regarding the mechanisms underlying the Ternus effect, providing insight into how the visual system is able to perceive coherent objects in the world despite discontinuities in the input (e.g., as a consequence of eye movements or object occlusion).

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7

Grossberg, Stephen. The Visual World as Illusion. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0007.

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This chapter shows how visual illusions arise from neural processes that play an adaptive role in achieving the remarkable perceptual capabilities of advanced brains. It clarifies that many visual percepts are visual illusions, in the sense that they arise from active processes that reorganize and complete perceptual representations from the noisy data received by retinas. Some of these representations look illusory, whereas others look real. The chapter heuristically summarizes explanations of illusions that arise due to completion of perceptual groupings, filling-in of surface lightnesses and colors, transformation of ambiguous motion signals into coherent percepts of object motion direction and speed, and interactions between the form and motion cortical processing streams. A central theme is that the brain is organized into parallel processing streams with computationally complementary properties, that interstream interactions overcome these complementary deficiencies to compute effective representations of the world, and how these representations generate visual illusions.

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8

Roberts, Anthea, and Martti Koskenniemi. Is International Law International? Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190696412.001.0001.

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Is International Law International? takes the reader on a sweeping tour of the international legal academy to reveal some of the patterns of difference, dominance, and disruption that belie international law’s claim to universality. Both revealing and challenging, confronting and engaging, this book is a must-read for any international lawyer, particularly in a world of shifting geopolitical power. Pulling back the curtain on the “divisible college of international lawyers,” the author shows how international lawyers in different states, regions, and geopolitical groupings are often subject to differences in their incoming influences and outgoing spheres of influence in ways that affect how they understand and approach international law, including with respect to contemporary controversies like Crimea and the South China Sea. Using case studies and visual representations, the author demonstrates how actors and materials from some states and groups have come to dominate certain transnational flows and forums in ways that make them disproportionately influential in constructing the “international”—a point which holds true for Western actors, materials, and approaches in general, and Anglo-American ones in particular. But these patterns are set for disruption. As the world moves past an era of Western dominance and toward greater multipolarity, it is imperative for international lawyers to understand the perspectives of those coming from diverse backgrounds. By taking readers on a comparative tour of different international law academies and textbooks, the author encourages international lawyers to see the world through others’ eyes—an approach that is pressing in a world of rising nationalism.

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Частини книг з теми "Visual grouping"

1

Tomita, Fumiaki, and Saburo Tsuji. "Grouping." In Computer Analysis of Visual Textures, 83–97. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-1553-7_6.

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2

Chivers, Ian. "Controls: Check Box with Grouping." In Essential Visual C++ 6.0 fast, 101–8. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0733-0_8.

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3

Yang, Heng, and Qing Wang. "Grouping and Summarizing Scene Images from Web Collections." In Advances in Visual Computing, 315–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10520-3_29.

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4

Loss, Leandro, George Bebis, Mircea Nicolescu, and Alexei Skourikhine. "Perceptual Grouping Based on Iterative Multi-scale Tensor Voting." In Advances in Visual Computing, 870–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11919629_87.

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5

Emami, Ebrahim, George Bebis, Ara Nefian, and Terry Fong. "Automatic Crater Detection Using Convex Grouping and Convolutional Neural Networks." In Advances in Visual Computing, 213–24. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27863-6_20.

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6

Watt, R. J. "Calculating Values for Spatial Position with Grouping." In Visual Processing: Computational, Psychophysical, and Cognitive Research, 81–114. London: Psychology Press, 2022. http://dx.doi.org/10.4324/9781315785080-4.

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7

Wang, Xiaochun, Xiali Wang, and Don Mitchell Wilkes. "An Incremental EM Algorithm Based Visual Perceptual Grouping." In Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment, 235–50. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9217-7_12.

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8

Pang, Bo, Yifan Zhang, Yaoyi Li, Jia Cai, and Cewu Lu. "Unsupervised Visual Representation Learning by Synchronous Momentum Grouping." In Lecture Notes in Computer Science, 265–82. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20056-4_16.

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9

Song, Chunbo, and Christopher Rasmussen. "Multi-camera Temporal Grouping for Play/Break Event Detection in Soccer Games." In Advances in Visual Computing, 231–43. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33720-9_18.

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10

Zeng, Xiuyuan, Heng Yang, and Qing Wang. "Multi-view Feature Matching and Image Grouping from Multiple Unordered Wide-Baseline Images." In Advances in Visual Computing, 410–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89646-3_40.

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Тези доповідей конференцій з теми "Visual grouping"

1

Zhang, Jun, and Yong Yan. "Perceptual grouping by local group-tree research." In Visual Communications '93, edited by Barry G. Haskell and Hsueh-Ming Hang. SPIE, 1993. http://dx.doi.org/10.1117/12.157999.

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2

Yu, Guoshen, and Jean-Jacques Slotine. "Visual grouping by neural oscillators." In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4959808.

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3

Brumby, Duncan P., and Susan Zhuang. "Visual Grouping in Menu Interfaces." In CHI '15: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2702123.2702177.

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4

Teynor, Alexandra, and Hans Burkhardt. "Semantic grouping of visual features." In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761089.

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5

Qi, Yonggang, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang, Yi-Zhe Song, and Zheng-Hua Tan. "Perceptual grouping via untangling Gestalt principles." In 2013 Visual Communications and Image Processing (VCIP). IEEE, 2013. http://dx.doi.org/10.1109/vcip.2013.6706384.

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6

Jiang, Fan, and Yu-Jin Zhang. "Camera attention weighted strategy for video shot grouping." In Visual Communications and Image Processing 2005. SPIE, 2005. http://dx.doi.org/10.1117/12.631563.

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7

Mingjie, Lao, Yazhe Tang, AngZong Yao Kevin, and Lin Feng. "Adaptive Keypoints Grouping for Robust Visual Tracking." In ION 2017 Pacific PNT Meeting. Institute of Navigation, 2017. http://dx.doi.org/10.33012/2017.15045.

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8

Nagasaki, Takeshi, Masashi Toda, and Toshio Kawashima. "Grouping viewpoint images into scenes based on similarity between frames." In Visual Communications and Image Processing 2003, edited by Touradj Ebrahimi and Thomas Sikora. SPIE, 2003. http://dx.doi.org/10.1117/12.502985.

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9

Foresti, Gian L. "Three-dimensional line segment extraction and grouping from image sequences." In Visual Communications and Image Processing '94, edited by Aggelos K. Katsaggelos. SPIE, 1994. http://dx.doi.org/10.1117/12.186015.

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10

Halverson, Tim, and Anthony J. Hornof. "The effects of semantic grouping on visual search." In Proceeding of the twenty-sixth annual CHI conference extended abstracts. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1358628.1358876.

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Звіти організацій з теми "Visual grouping"

1

Jacobs, David W. The Use of Grouping in Visual Object Recognition. Fort Belvoir, VA: Defense Technical Information Center, October 1988. http://dx.doi.org/10.21236/ada201691.

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