Duals, invariants, and the recognition of smooth objects from their occluding contour

2Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

This paper presents a new geometric relation between a solid bounded by a smooth surface and its silhouette in images formed under weak perspective projection. The relation has the potential to be used for recognizing complex 3-D objects from a single image. Objects are modeled by showing them to a camera without any knowledge of their motion. The main idea is to consider the dual of the 3-D surface and the family of dual curves of the silhouettes over all viewing directions. Occluding contours correspond to planar slices of the dual surface. We introduce an affine-invariant representation of this surface that can constructed from a sequence of images and allows an object to be recognized from arbitrary viewing directions. We illustrate the proposed object representation scheme through synthetic examples and image contours detected in real images.

Cite

CITATION STYLE

APA

Renaudie, D., Kriegman, D., & Ponce, J. (2000). Duals, invariants, and the recognition of smooth objects from their occluding contour. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1842, pp. 784–798). Springer Verlag. https://doi.org/10.1007/3-540-45054-8_51

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free