Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Classification | 2 |
| Vision | 2 |
| Visual Perception | 2 |
| Cognitive Processes | 1 |
| Experiments | 1 |
| Generalization | 1 |
| Hypothesis Testing | 1 |
| Information Utilization | 1 |
| Models | 1 |
| Motion | 1 |
| Neurological Organization | 1 |
| More ▼ | |
Source
| Cognitive Science | 2 |
Author
| Changizi, Mark A. | 1 |
| Hsieh, Andrew | 1 |
| Kanai, Ryota | 1 |
| Kersten, Daniel | 1 |
| Nijhawan, Romi | 1 |
| Olman, Cheryl | 1 |
| Shimojo, Shinsuke | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Changizi, Mark A.; Hsieh, Andrew; Nijhawan, Romi; Kanai, Ryota; Shimojo, Shinsuke – Cognitive Science, 2008
Over the history of the study of visual perception there has been great success at discovering countless visual illusions. There has been less success in organizing the overwhelming variety of illusions into empirical generalizations (much less explaining them all via a unifying theory). Here, this article shows that it is possible to…
Descriptors: Proximity, Visual Perception, Vision, Theories
Olman, Cheryl; Kersten, Daniel – Cognitive Science, 2004
A successful vision system must solve the problem of deriving geometrical information about three-dimensional objects from two-dimensional photometric input. The human visual system solves this problem with remarkable efficiency, and one challenge in vision research is to understand how neural representations of objects are formed and what visual…
Descriptors: Vision, Cognitive Processes, Information Utilization, Classification

Peer reviewed
Direct link
