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A phenomenological approach to salient maps and illusory contours
Yang, ZY; Ma, SD
Source PublicationNETWORK-COMPUTATION IN NEURAL SYSTEMS
1996-08-01
Volume7Issue:3Pages:555-571
SubtypeArticle
AbstractThis paper presents a new general approach to salient maps and illusory contours. We first formulate an energy model for representing line contours with a set of line segments of different geometric redundancy. New items incorporated into the energy are marginal energy, point energy and exchange interaction. Marginal energy and exchange interaction induce several kinds of bound energy, which provides a general solution to the segmentation/grouping/binding problem. Salient maps and illusory contours emerge out of images at some critical points as a kind of phase transition and thus can be detected in parallel at the early vision stages. These phase transitions, with no obvious hysteresis, have interesting behaviour including crossovers. The energy model, providing some intuition to the strategies for visual representation by the brain, may be related to the retinotopic mapping and the functional columnar architecture of the brain cortex and casts some doubts on the present computational theory of vision.
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
WOS KeywordVISUAL-CORTEX
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering ; Neurosciences & Neurology
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Neurosciences
WOS IDWOS:A1996VT25700006
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21907
Collection09年以前成果
Recommended Citation
GB/T 7714
Yang, ZY,Ma, SD. A phenomenological approach to salient maps and illusory contours[J]. NETWORK-COMPUTATION IN NEURAL SYSTEMS,1996,7(3):555-571.
APA Yang, ZY,&Ma, SD.(1996).A phenomenological approach to salient maps and illusory contours.NETWORK-COMPUTATION IN NEURAL SYSTEMS,7(3),555-571.
MLA Yang, ZY,et al."A phenomenological approach to salient maps and illusory contours".NETWORK-COMPUTATION IN NEURAL SYSTEMS 7.3(1996):555-571.
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