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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Patent
System and method for communication among embedded devices using visual images
TL;DR: In this paper, a system and method for wireless communication among embedded devices using visual images was proposed. But it was not shown how to locate the signal display screen of a signal transmitting device by employing an alternating image detection method.
Journal ArticleDOI
Pose Determination of 3-D Object from a Single Perspective View
Proceedings ArticleDOI
Colored-object detection for a mobile robot
TL;DR: A focus of attention algorithm using color is presented, which provides rough estimates of object position, which is related to the histogram backprojection algorithm of Ballard and Swain, but it does not require the object image size a priori.
Journal ArticleDOI
A model-based approach to localizing stable polyhedra using geometric constraints
TL;DR: The construction and methodology of the method for localizing polyhedra using CAD data of object and range images is described and experimental results based on real data are shown.
Proceedings ArticleDOI
Object recognition based on reflectance and geometry
Shree K. Nayar,Ruud M. Bolle +1 more
TL;DR: This paper develops an algorithm that estimates a reflectance ratio for each region in an image with respect to its background and verifies the existence of an object in the image using the ratios and locations of other regions in the scene.
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.