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
Citations
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Proceedings ArticleDOI
Corner detector for 3D object recognition
Andrew K. C. Wong,Qigang Gao +1 more
TL;DR: This paper presents an effective corner detector based on perceptual organization and a curve tracking scheme that locates 3-D corners by detecting the terminations of tracked curves intersecting at 2- D corners.
Proceedings ArticleDOI
A Framework for Fusion of 3D Appearance and 2D Shape Cues for Generic Object Recognition
TL;DR: The proposed framework for GOR uses a decision fusion technique, in which evidences from 3D appearance and 2D shape are combined to obtain the correct object class and its pose to improve appearance-based recognition accuracy.
Journal ArticleDOI
Multimedia Indexing with the SMART system
TL;DR: The aim of this paper is to introduce a methodology to represent, simplify, store, retrieve and reconstruct an image from a repository by using an algebraic representation of the spatio-temporal relations present in a document to simplify and later reconstruct the complete index.
Dissertation
An optimization approach to labelling problems in computer vision.
TL;DR: This thesis is concerned with the development of an optimization based approach to solving labelling problems which involve the assignment of image entities into interpretation categories in computer vision by exploiting an integrated use of multiple image cues to simplify the interpretation task and improve the interpretation performance.
Proceedings ArticleDOI
Matching of developable surfaces
TL;DR: A matching scheme is presented that is capable of recognizing a developable surface not only when it is identical to a model surface, but also when it has different attitude and scale from and/or is only a part of the corresponding model.
References
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Journal ArticleDOI
Generalizing the hough transform to detect arbitrary shapes
TL;DR: It is shown how the boundaries of an arbitrary non-analytic shape can be used to construct a mapping between image space and Hough transform space, which makes the generalized Houghtransform a kind of universal transform which can beused to find arbitrarily complex shapes.
Book
Robot Vision
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.
Journal ArticleDOI
Fourier Descriptors for Plane Closed Curves
Charles T. Zahn,Ralph Roskies +1 more
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.