Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Inferring three-dimensional shapes from two-dimensional silhouettes

Not Accessible

Your library or personal account may give you access

Abstract

Although an infinity of three-dimensional (3-D) objects could generate any given silhouette, we usually infer only one 3-D object from its two-dimensional (2-D) projection. What are the constraints that restrict this infinity of choices? We identify three mathematical properties of smooth surfaces plus one simple viewing constraint that seem to drive our preferred interpretation of 3-D shape from 2-D contour. The constraint is an extension of the notion of general position. Taken together, our interpretation rules predict that “dents” in a 3-D surface should never be inferred from a smooth 2-D silhouette.

© 1987 Optical Society of America

Full Article  |  PDF Article
More Like This
Description of solid shape and its inference from occluding contours

Jack M. H. Beusmans, Donald D. Hoffman, and Bruce M. Bennett
J. Opt. Soc. Am. A 4(7) 1155-1167 (1987)

Three-dimensional modeling using x-ray shape-from-silhouette

Emanuele Simioni, Filippo Ratti, Irene Calliari, and Luca Poletto
Appl. Opt. 50(19) 3282-3288 (2011)

Reconstituting object shape and orientation from silhouettes

R. D. Murch and B. P. McGregor
J. Opt. Soc. Am. A 9(9) 1491-1497 (1992)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (8)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.