Three-dimensional object recognition from single two-dimensional images
Artificial Intelligence
Principles of artificial intelligence
Principles of artificial intelligence
International Journal of Computer Vision
Statistical Approaches to Feature-Based Object Recognition
International Journal of Computer Vision
Knowledge-based image understanding systems: a survey
Computer Vision and Image Understanding
Computer Vision
Ansichtenbasierte Erkennung von Fahrzeugen
Mustererkennung 2000, 22. DAGM-Symposium
Integrating Aspects of Active Vision into a Knowledge-Based System
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
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In this paper, knowledge-based recognition of objects in a bureau scene is studied and compared using two different systems on a common data set: In the first system active scene exploration is based on semantic networks and an A*-control algorithm which uses color cues and 2-d image segmentation into regions. The other system is based on production nets and uses line extraction and views of 3-d polyhedral models. For the latter a new probabilistic foundation is given. In the experiments, wide-angle overviews are used to generate hypotheses. The active component then takes close-up views which are verified exploiting the knowledge bases, i.e. either the semantic network or the production net.