2002 Fiscal Year Final Research Report Summary
PSYCHOPHYSICAL AND COMPUTATINAL STUDY ON DETERMINING SEPARATION AND INTEGRATION MECHANISMS FOR THE OBJECT RECOGNITION PROCESSES AND THREE-DIMENSIONAL PERCEPTION PROCESSES
| Project/Area Number |
13680861
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Neuroscience in general
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| Research Institution | UNIVERSITY OF TSUKUBA |
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Principal Investigator |
SAKAI Ko UNIVERSITY OF TSUKUBA, INSTITUTE OF INFORMATION SCIENCES AND ELECTRONICS, ASSOCIATE PROFESSOR, 電子・情報工学系, 助教授 (80281666)
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| Project Period (FY) |
2001 – 2002
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| Keywords | VISION / STEREOPSIS / OBJECT RECOGNITION / PSYCHOPHYSICS / INTEGRATION OF INFORMATION |
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| Research Abstract |
The project studied psychophysically and computationally the relevance between shape perception and three-dimensional perception in order to understand the information integration processes relevant to higher-order visual functions.
In psychophysical experiments, we generated stimuli whose shape perception, three dimensional perception and stereopsis are independent, and obtained the relevance between the shape perception annd 3D perception. We were able to distinguish shape perception and stereo perception which are mixed in the previous experiments. Specifically, we we generated stimuli whose shape perception, shape form shading, and stereo perception are independent, and determined the relation between the shape perception and 3d perception. The results suggest that 3D perception from shading has different characteristics from depth perception from binocular stereopsis.
In computational study, we investigated if 3D information is relevant to object recognition, what would be the roles and mechanisms. Specifically, (1) dynamics of information integration, (2) grouping of regions due to shape and binocular disparity are studied. We constructed a model for the grouping and integration in early to intermediate-level visual processes. We further constructed a model for V2 and V4 that reproduces the specificity to surface perception, and examined the integration of attributes to the perceived surfaces.
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