Shortcuts in shape classification from two images

Daphna Weinshall*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


Exact structure from motion is an ill-posed computation and therefore is sensitive to noise. It is shown here that a qualitative shape feature, the classification of surfaces into convex, concave, cylindrical, planar, and hyperbolic regions, can be computed directly from motion disparities, without the computation of an exact depth map. It is also shown that humans can judge the curvature sense of three points undergoing apparent motion from two, three, and four views with success rate significantly above chance.

Original languageAmerican English
Pages (from-to)57-68
Number of pages12
JournalCVGIP: Image Understanding
Issue number1
StatePublished - Jul 1992
Externally publishedYes

Bibliographical note

Funding Information:
I am very grateful to E. Hildreth and R. Basri for many useful com-mentsr egardingt he manuscript,a nd to S. Edelmanw ho helpedm e with the implementationa nd analysis of the psychophysicale xperiments.I also thank H. Biilthoff, N. Cornelius, M. Dornay, M. Fahle, S. Kirkpa-trick, M. Ross, and A. Shashua.T his researchw as done partly in the MIT AI Laboratory. It was supportedb y a Fairchild postdoctoralf el-lowship, in part by grants from the office of Naval Research (N00014-88-k-0164a) nd the National Science Foundation( IRI-8719394a nd IRI-8657824)a nd by a gift from the James S. McDonnell Foundation to Professor E. Hildreth.


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