Using virtual environments to evaluate assumptions of the human visual system

Palmer, E. E.; Michaux, Aaron; Pizlo, Zygmunt

doi:10.1109/vr.2016.7504751

Cited by 1 publication

(2 citation statements)

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“…Most objects stand on a floor, or flat surface, and there is psychophysical evidence that the human visual system uses some sort of floor prior [12,18]. Using a floor prior is similar to the "Manhattan World" assumption [49], where a scene is assumed to have three global vanishing points related to an orthogonal basis in R 3 .…”

Section: Using a Floor Priormentioning

confidence: 99%

“…For the sake of computational efficiency, we added the additional constraint that objects stand on a flat surface, or floor. This is easily arranged when capturing images in controlled conditions; however, most real world objects do stand on a flat surface [12], and there is psychophysical evidence that the human vision system takes advantage of this prior [18].…”

Section: Introductionmentioning

confidence: 99%

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Binocular 3D Object Recovery Using a Symmetry Prior

et al. 2017

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We present a new algorithm for 3D shape reconstruction from stereo image pairs that uses mirror symmetry as a biologically inspired prior. 3D reconstruction requires some form of prior because it is an ill-posed inverse problem. Psychophysical research shows that mirror-symmetry is a key prior for 3D shape perception in humans, suggesting that a general purpose solution to this problem will have many applications. An approach is developed for finding objects that fit a given shape definition. The algorithm is developed for shapes with two orthogonal planes of symmetry, thus allowing for straightforward recovery of occluded portions of the objects. Two simulations were run to test: (1) the accuracy of 3D recovery, and (2) the ability of the algorithm to find the object in the presence of noise. We then tested the algorithm on the Children's Furniture Corpus, a corpus of stereo image pairs of mirror symmetric furniture objects. Runtimes and 3D reconstruction errors are reported and failure modes described.

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Section: Using a Floor Priormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%