A Local Visual Operator Which Recognizes Edges and Lines
Journal of the ACM (JACM)
Object boundary determination in a textured environment
ACM '75 Proceedings of the 1975 annual conference
On the Purpose of Low-level Vision
On the Purpose of Low-level Vision
Computer edge extraction from photographs of curved objects.
Computer edge extraction from photographs of curved objects.
GM research labs' machine perception project
ACM SIGART Bulletin
Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters
IEEE Transactions on Computers
Edge Detection in Simple Scenes Using a Priori Information
IEEE Transactions on Computers
Computer Recognition of Partial Views of Curved Objects
IEEE Transactions on Computers
Edge finding, segmentation of edges and recognition of complex objects
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
A machine vision for complex industrial parts with learning capability
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
Recent Developments in Pattern Recognition
IEEE Transactions on Computers
Segmentation of images by expansion and contraction
IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 2
Real-time natural scene analysis for a blind prosthesis
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
A framework for handling vision data in an object level robot lancuace: RAPT
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Optimization approaches to the problem of edge linking with a focus on parallel processing
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Symmetry analysis of two-dimensional patterns for computer vision
IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 1
Approximation of a polyline with a sequence of geometric primitives
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Two-dimensional object recognition by matching local properties of contour points
Pattern Recognition Letters
Relaxation labelling - the principle of 'least disturbance'
Pattern Recognition Letters
The least-disturbance principle and weak constraints
Pattern Recognition Letters
Relaxation labelling - the principle of 'least disturbance'
Pattern Recognition Letters
| Hi-index | 14.98 |
A vision system has been developed which can determine the position and orientation of complex curved objects in gray-level noisy scenes. The system organizes and reduces the image data from a digitized picture to a compact representation having the appearance of a line drawing. This compact image representation can be used for forming a model under favorable viewing conditions or for locating a part under poor viewing conditions by a matching process that uses a previously formed model. Thus, models are formed automatically by having the program view the part under favorable lighting and background conditions. The compact image representation describes the boundaries of the part.