Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
Model-based recognition in robot vision
ACM Computing Surveys (CSUR)
Generating and generalizing models of visual objects
Artificial Intelligence
A logical framework for depiction and image interpretation
Artificial Intelligence
The image processing handbook
Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
Shape matching using polygon approximation and dynamic alignment
Pattern Recognition Letters
Supervised Learning of Descriptions for Image Recognition Purposes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Introduction to the Special Section on Learning in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Understanding System: The Noisy Class
ISAS-SCI '01 Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics: Information Systems Development-Volume I - Volume I
Pictorial and formal aspects of shape and shape grammars and aesthetic systems.
Pictorial and formal aspects of shape and shape grammars and aesthetic systems.
Shape Understanding: Knowledge Generation and Learning
IEEE Transactions on Knowledge and Data Engineering
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: Knowledge Generation and Learning
IEEE Transactions on Knowledge and Data Engineering
Shape understanding system: 3D interpretation as a part of the visual concept formation
Machine Graphics & Vision International Journal
Hi-index | 0.00 |
In this paper the new method of understanding of the curve-polygon object is presented. The method of understanding of the curve-polygon object is part of the research aimed at developing a shape understanding method able to perform complex visual tasks connected with visual thinking. The shape understanding method is implemented as the shape understanding system (SUS). Understanding includes, among others, obtaining the visual concept in process of the visual reasoning, naming and visual explanation by generation an object from a required class. In this paper generation of the object from the selected well defined class, the curve-polygon class, as well as assigning the visual object into one of the shape classes is presented. The generation of the visual objects is used in SUS during learning of the visual concept, explanatory process and self-correcting process. The visual object is assigned into one of the shape classes during the visual reasoning process. The visual reasoning, presented in this paper, in contrast to other forms of reasoning depends on the type of objects which are analysed. In this paper visual reasoning that assigns an object to the curve-polygon class is presented. The shape understanding system consists of different types of experts that perform different processing and reasoning tasks. The self-correcting expert, that implements the new method of testing and reasoning, is invoked to test ability of the system to understand the concept of the curve-polygon shape.