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
Scene parsing using a prior world model
Gregory D. Hager,Ben Wegbreit +1 more
TL;DR: This paper formalizes a mathematical framework for physically consistent 3D scene models, and changes to scene models that preserve physical consistency, and presents a polynomial time approximation for this algorithm.
Journal ArticleDOI
Planning sequences of views for 3-D object recognition and pose determination
TL;DR: An original procedure is developed which analyzes the transformation of individual clusters under changing viewpoints into several smaller clusters and results in an optimal next-view planning when additional views are necessary to resolve the ambiguities.
Journal ArticleDOI
Inter-image outliers and their application to image classification
TL;DR: It is proposed that the pixels associated with large distances obtained by inter-image pixel-by-pixels comparisons should be considered as inter- image outliers and should be removed from the similarity calculation used for the image classification.
Journal ArticleDOI
A neural network approach to CSG-based 3-D object recognition
Tongwen Chen,Wei-Chung Lin +1 more
TL;DR: A constraint satisfaction network is proposed to implement the matching process and the energy function associated with the network is used to enforce the matching constraints including match validity, primitive similarity, precedence graph preservation, and geometric structure preservation.
Proceedings ArticleDOI
Feature Extraction Using Wavelet-PCA and Neural Network for Application of Object Classification & Face Recognition
N. G. Chitaliya,A. I. Trivedi +1 more
TL;DR: This research proposes feature extraction and classification method using Wavelet where the DWT is used to generate the feature images from individual wavelet sub bands and reduced feature vector are used for further classification using Euclidian distance classifier and neural network Classifier.
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.