Journal ArticleDOI
Model-based recognition in robot vision
Roland T. Chin,Charles R. Dyer +1 more
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TLDR
This paper presents a comparative study and survey of model-based object-recognition algorithms for robot vision, and an evaluation and comparison of existing industrial part- recognition systems and algorithms is given, providing insights for progress toward future robot vision systems.Abstract:
This paper presents a comparative study and survey of model-based object-recognition algorithms for robot vision. The goal of these algorithms is to recognize the identity, position, and orientation of randomly oriented industrial parts. In one form this is commonly referred to as the "bin-picking" problem, in which the parts to be recognized are presented in a jumbled bin. The paper is organized according to 2-D, 2½-D, and 3-D object representations, which are used as the basis for the recognition algorithms. Three central issues common to each category, namely, feature extraction, modeling, and matching, are examined in detail. An evaluation and comparison of existing industrial part-recognition systems and algorithms is given, providing insights for progress toward future robot vision systems.read more
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Book ChapterDOI
Constructing 3D Objects from 2D Information
TL;DR: The construction of 3D objects from 2D information is a discipline of computer aided design (CAD) as well as image analysis that uses, in most cases, interactive computer graphics as a tool.
Proceedings ArticleDOI
Off-line planning for on-line object localization
TL;DR: It is described how an off-line computation that exploits constraints on the object's expected pose can be used to reduce the expected time for the on-line compu- tation to localize the object.
Proceedings ArticleDOI
ART-1 neural network for reducing search space in 3-D object recognition using multiple views
C.-C. Liang,F.-Y. Liao,W.-C. Lin +2 more
TL;DR: An ART-1 neural network is applied to the problem of 3-D object recognition using a multiple-view modeling scheme and is used at the coarse search stage to reduce the search space in the model database.
Journal ArticleDOI
Recognition of 3-D objects by forward checking constrained search
Chang J. Cho,Jin H. Kim +1 more
TL;DR: This work uses forward checking constrained tree search that is a sequential constrainedTree search with a forward checking mechanism that drastically reduces the number of candidate MSPs matchable to unexplored SSPs and yields powerful search termination criteria.
References
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Book
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TL;DR: Robot Vision as discussed by the authors is a broad overview of the field of computer vision, using a consistent notation based on a detailed understanding of the image formation process, which can provide a useful and current reference for professionals working in the fields of machine vision, image processing, and pattern recognition.
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TL;DR: It is established that the Fourier series expansion is optimal and unique with respect to obtaining coefficients insensitive to starting point and the amplitudes are pure form invariants as well as are certain simple functions of phase angles.