HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects
Nicholas Ayache,Olivier Faugeras +1 more
TLDR
The method has been integrated within a vision system coupled to an indutrial robot arm, to provide automatic picking and repositioning of partially overlapping industrial parts to provide strong robustness to partial occlusions.Abstract:
A new method has been designed to identify and locate objects lying on a flat surface. The merit of the approach is to provide strong robustness to partial occlusions (due for instance to uneven lighting conditions, shadows, highlights, touching and overlapping objects) thanks to a local and compact description of the objects boundaries and to a new fast recognition method involving generation and recursive evaluation of hypotheses named HYPER (HY potheses Predicted and Evaluated Recursively). The method has been integrated within a vision system coupled to an indutrial robot arm, to provide automatic picking and repositioning of partially overlapping industrial parts.read more
Citations
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Journal ArticleDOI
Pictorial Structures for Object Recognition
TL;DR: A computationally efficient framework for part-based modeling and recognition of objects, motivated by the pictorial structure models introduced by Fischler and Elschlager, that allows for qualitative descriptions of visual appearance and is suitable for generic recognition problems.
Journal ArticleDOI
Local grayvalue invariants for image retrieval
Cordelia Schmid,Roger Mohr +1 more
TL;DR: This paper addresses the problem of retrieving images from large image databases with a method based on local grayvalue invariants which are computed at automatically detected interest points and allows for efficient retrieval from a database of more than 1,000 images.
Book
Markov Random Field Modeling in Computer Vision
TL;DR: This book presents a comprehensive study on the use of MRFs for solving computer vision problems, and covers the following parts essential to the subject: introduction to fundamental theories, formulations of MRF vision models, MRF parameter estimation, and optimization algorithms.
Proceedings ArticleDOI
Geometric Hashing: A General And Efficient Model-based Recognition Scheme
Y. Lamdan,Haim J. Wolfson +1 more
TL;DR: A general method for model-based object recognition in occluded scenes is presented based on geometric hashing, which stands out for its efficiency and applications both in 3-D and 2-D.
Journal ArticleDOI
Recognition of shapes by editing their shock graphs
TL;DR: An edit-distance algorithm for shock graphs that finds the optimal deformation path in polynomial time is employed and gives intuitive correspondences for a variety of shapes and is robust in the presence of a wide range of visual transformations.
References
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O. D. Faugeras,M. Hebert +1 more
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