Journal ArticleDOI
Model-based recognition in robot vision
Roland T. Chin,Charles R. Dyer +1 more
Reads0
Chats0
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
More filters
Proceedings Article
Invariant shape object recognition using B-spline, cardinal spline and genetic algorithm
TL;DR: This paper proposes a genetic algorithm to search the features of model shapes of the object from model-base, to identify input shapes ofThe object, and compares the two methods to compute the output features.
Bayesian Orientation Estimation and Local Surface Informativeness for Active Object Pose Estimation
TL;DR: The accuracy of the orientation estimation using the proposed method is not yet comparable to state-of-the-art algorithms in the general case of unrestricted viewing directions, but the evaluation of view and surface part informativeness gives plausible and promising results for building effective view planning criteria.
Journal ArticleDOI
A fast machine vision approach for automatic recognition of industrial parts
Du-Ming Tsai,M.-F. Chen +1 more
TL;DR: A fast contour-based approach to planar part recognition and a Hough-like clustering method for similarity measures is developed, which searches for a large cluster of the same tangent angle differences between the test part and the model part.
Proceedings ArticleDOI
Semiparametric skew-symmetric modeling of planar shapes
S.H. Baloch,Hamid Krim +1 more
TL;DR: The paper addresses the problem from a novel viewpoint of a new class of semiparametric skew distributions given several realizations of a shape as a joint distribution of angle and distance from the centroid for all points on the boundary.
Proceedings ArticleDOI
Optimal training set design for 3D object recognition
TL;DR: This work describes a general approach for the representation and recognition of 3D objects based on a novel view selection mechanism that develops "visual filters" responsive to specific object classes to encode the complete viewing sphere with a small number of prototypical examples.
References
More filters
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.