Rule-driven processing and recognition from range images

A rule-driven recognition system of a 3-D scene using range images is described. The system is constructed with a production system. A scene is described with simple a surface patch network (planar or quadric) by examining the local curvature of objects. The region and edge network is interpreted with IF-THEN-like heuristic rules. The system can recognize smoothly joined curved surfaces and explain the structure of a scene consisting of plural objects. The experiments have been carried out with real range data.<<ETX>>

[1]  Anil K. Jain,et al.  Segmentation and Classification of Range Images , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Ramesh C. Jain,et al.  Segmentation through Variable-Order Surface Fitting , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Jake K. Aggarwal,et al.  Experiments in combining intensity and range edge maps , 1983, Comput. Vis. Graph. Image Process..

[4]  K. Sato,et al.  Range imaging system utilizing nematic liquid crystal mask , 1987 .

[5]  Ramakant Nevatia,et al.  Segmented descriptions of 3-D surfaces , 1987, IEEE Journal on Robotics and Automation.

[6]  Yoshiaki Shirai,et al.  Recognition of polyhedrons with a range finder , 1971, IJCAI.

[7]  A. E. Brain,et al.  The measurement and use of registered reflectance and range data in scene analysis , 1977, Proceedings of the IEEE.