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
Book ChapterDOI
A Theoretical Framework for Predicting Performance of Object Recognition
Michael Boshra,Bir Bhanu +1 more
TL;DR: This chapter addresses the performance—prediction problem in the context of a common recognition task, where both model objects and scene data are represented by locations of 2D point features.
Proceedings ArticleDOI
A modeling technique for the recognition and attitude estimation of 3-D objects
TL;DR: A novel method for rapid identification and 3-D attitude determination of polyhedral objects is presented, using a least set of 2-D projections called the distinct view set to represent the3-D object.
Proceedings ArticleDOI
On The Computation Of Intrinsic Surface Properties With Structured Lighting
TL;DR: In this paper, a grid pattern is projected to encode the object surfaces for analysis, and the curvature of the projected stripe on the object surface is computed and related to that of the normal section which shares the same tangential direction as the projected curve.
Proceedings ArticleDOI
Contour-based feature strings for 2-D shape recognition using EREW PRAM architecture
Its'hak Dinstein,Gad M. Landau +1 more
TL;DR: This paper presents parallel computable contour based feature strings for two dimensional shape recognition using the EREW PRAM architecture, but the technique can be adapted to other parallel architectures.
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.