Estimation of 3D shape from image orientations
- Authors
- Fleming, Roland W.; Holtmann-Rice, Daniel; Buelthoff, Heinrich H.
- Issue Date
- 20-12월-2011
- Publisher
- NATL ACAD SCIENCES
- Keywords
- shape perception; surface perception; orientation field; complex cells
- Citation
- PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v.108, no.51, pp.20438 - 20443
- Indexed
- SCIE
SCOPUS
- Journal Title
- PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Volume
- 108
- Number
- 51
- Start Page
- 20438
- End Page
- 20443
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/110896
- DOI
- 10.1073/pnas.1114619109
- ISSN
- 0027-8424
- Abstract
- One of the main functions of vision is to estimate the 3D shape of objects in our environment. Many different visual cues, such as stereopsis, motion parallax, and shading, are thought to be involved. One important cue that remains poorly understood comes from surface texture markings. When a textured surface is slanted in 3D relative to the observer, the surface patterns appear compressed in the retinal image, providing potentially important information about 3D shape. What is not known, however, is how the brain actually measures this information from the retinal image. Here, we explain how the key information could be extracted by populations of cells tuned to different orientations and spatial frequencies, like those found in the primary visual cortex. To test this theory, we created stimuli that selectively stimulate such cell populations, by "smearing" (filtering) images of 2D random noise into specific oriented patterns. We find that the resulting patterns appear vividly 3D, and that increasing the strength of the orientation signals progressively increases the sense of 3D shape, even though the filtering we apply is physically inconsistent with what would occur with a real object. This finding suggests we have isolated key mechanisms used by the brain to estimate shape from texture. Crucially, we also find that adapting the visual system's orientation detectors to orthogonal patterns causes unoriented random noise to look like a specific 3D shape. Together these findings demonstrate a crucial role of orientation detectors in the perception of 3D shape.
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Collections - Graduate School > Department of Brain and Cognitive Engineering > 1. Journal Articles
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