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Proceedings Paper

Efficient recognition of 3D rigid solid objects from 2D projective images based on projective invariant descriptions
Author(s): Theo Gevers; Arnold W. M. Smeulders
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Paper Abstract

This paper proposes an efficient method to recognize 3-D rigid, solid objects from 2-D projective images in the presence of object overlapping and occlusion which is robust to noise, location accuracy, and able to deal with multiple instances of a model in a scene. The task of the recognition method is to find instances of known object models in projective images. Projective invariants shape descriptors of 3-D solid objects are generated which are invariant to a change in the point of view. To obtain these projective invariants, the classical projective geometry has been taken as a starting point. It is classically known that the cross ratio is projectively invariant. The invariants describing the model are used as `keys' to index the model into a hash table. Because these keys remain the same under the projective transformation they are computed for objects found in an image and used to determine which object model is present in an image. Experiments show excellent performance and together with the inherent parallelism of the recognition method makes the method a promising one.

Paper Details

Date Published: 17 August 1994
PDF: 7 pages
Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182836
Show Author Affiliations
Theo Gevers, Univ. of Amsterdam (Netherlands)
Arnold W. M. Smeulders, Univ. of Amsterdam (Netherlands)


Published in SPIE Proceedings Vol. 2357:
ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision
Heinrich Ebner; Christian Heipke; Konrad Eder, Editor(s)

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