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
Optimal 3D object surface identification
TL;DR: In this article, the spatial and frequency domain approaches are presented for the determination of an optimal grid spacing for 3D object surface representation, which is based on the measurement of the total variations of the object surface function f(x,y) in the constant x and constant y planes and the frequency domain approach utilizes the Nyquist criterion and an ideal 2D rectangular low-pass filter in an iterative operation.
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Development of Cotton Flower Picking Machine based on Machine Vision Technique
Alakh Patel,Jaymin Bhalani +1 more
TL;DR: Following proposed work contain one system which is combination of motion control and machine vision system by which cotton harvesting is made possible by taking help from intelligent machine.
Proceedings ArticleDOI
Aspect angle estimation in FLIR images: a model-based vision approach
TL;DR: A model-based vision approach to estimate the `aspect angle' of a target in a forward-looking infrared (FLIR) image and uses an algebraic approach to represent images which has the advantage that a big speedup is possible if the fast Fourier transform (FFT) is applied to compute the polynomial multiplications involved in thegebraic approach.
Proceedings ArticleDOI
Search algorithm complexity modeling with application to image alignment and matching
TL;DR: This paper performs mathematical modeling to derive general equations for penetration rate estimates that are applicable to a wide range of recognition problems and applies the analysis to model-based logo image alignment in which a hierarchical grid search is used over a geometric misalignment transform hypothesis space.
Proceedings ArticleDOI
Model-based objects recognition in man-made environments
Joan Martí,Alicia Casals +1 more
TL;DR: A model-based objects recognition system which is part of an image interpretation system intended to assist autonomous vehicles navigation and has been especially conceived for supporting cooperative expert systems, and uses the object oriented programming paradigm.
References
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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.