Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
Computational geometry: an introduction
Computational geometry: an introduction
Model-based recognition in robot vision
ACM Computing Surveys (CSUR)
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Generating and generalizing models of visual objects
Artificial Intelligence
The image processing handbook
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Shape matching using polygon approximation and dynamic alignment
Pattern Recognition Letters
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape-understanding system: A system of experts
International Journal of Intelligent Systems
Angle Detection on Digital Curves
IEEE Transactions on Computers
Pattern Recognition as Rule-Guided Inductive Inference
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching of Two-Dimensional Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape understanding system: 3D interpretation as a part of the visual concept formation
Machine Graphics & Vision International Journal
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In this paper a method of understanding of the concave polygon object is presented. The proposed method of understanding the concave polygon object is part of the shape understanding method. The main novelty of the presented method is that the process of understanding of the concave polygon object is related to the visual concept represented as a symbolic name of the possible classes of shape. The possible classes of shape, viewed as hierarchical structures, are incorporated into the shape model. At each stage of the reasoning process that led to assigning of an examined object to one of the possible classes, the novel processing methods were used. These methods, implemented as modules of the shape understanding system (SUS) and tested on the broad classes of shapes, are very efficient because they deal with a very specific classes of shape. The system consists of different types of experts that perform different processing and reasoning tasks. The concave polygon class models and processing methods are also described.