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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Journal ArticleDOI
Graph-based quadratic optimization: A fast evolutionary approach
TL;DR: A new population game dynamics (InImDyn) is proposed which is motivated by the analogy with infection and immunization processes within a population of ''players,'' and it is proved that the evolution of the dynamics is governed by a quadratic Lyapunov function, representing the average population payoff.
Journal ArticleDOI
CAD-Based 3D Object Representation for Robot Vision
Bhanu,Chih-Cheng Ho +1 more
TL;DR: The authors desire a more unified system that allows vision models to be automatically generated from an existing CAD database, and propose a CAD-based approach for building representations and models that can be used in diverse applications involving 3D object recognition and manipulation.
Patent
Apparatus for the registration of three-dimensional shapes
Paul J. Besl,Neil David Mc Kay +1 more
TL;DR: In this paper, a point digitizing apparatus for obtaining data points of a surface to be located and an apparatus, such as a memory device, for storing a mathematical model of a model surface.
Proceedings ArticleDOI
Tag-rased vision: assisting 3D scene analysis with radio-frequency tags
M. Boukraa,S. Ando +1 more
TL;DR: A machine vision system that uses a Radio Frequency (RF) Tag device to identify objects prior to locating them visually and how the concept of integrated tag based systems can provide new insights in image processing and machine vision is described.
Proceedings ArticleDOI
On the error analysis of 'geometric hashing'
Y. Lamdan,Haim J. Wolfson +1 more
TL;DR: An experimental and theoretical analysis of the noise model in the geometric hashing technique is presented and it is shown that its introduction significantly reduces the expected burden of the verification stage.
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.