3D free-form object recognition using indexing by contour features
Computer Vision and Image Understanding
3D Object recognition in cluttered environments by segment-based stereo vision
International Journal of Computer Vision
Silhouette-Based Isolated Object Recognition through Curvature Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast retrieval of isolated visual shapes
Computer Vision and Image Understanding
3-D Structures for Generic Object Recognition
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Curve and Surface Duals and the Recognition of Curved 3D Objects from their Silhouettes
International Journal of Computer Vision - Special Issue on Computer Vision Research at the Beckman Institute of Advanced Science and Technology
Recognition of Shapes by Editing Their Shock Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
A hierarchy of boundary-based shape descriptors
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
LWDOS: language for writing descriptors of outline shapes
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Shape matching using coarse descriptors
International Journal of Computational Vision and Robotics
Shape Codification Indexing and Retrieval Using the Quad-Tree Structure
International Journal of Computer Vision and Image Processing
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In this paper we propose a new method for comparing silhouettes. Silhouettes of 3D objects, extracted from 2D images, are described using the LWDOS language [21]. Sometimes, even though the silhouettes appear identical, their LWDOS detailed descriptors may be very different; therefore, we might wrongly conclude that the two silhouettes are different. In order to eliminate this problem which is due to several phenomena, we try to deduce the same detailed descriptor from two slightly different descriptors of two silhouettes.