Automatic recognition of 3-D objects via geographic encoding
暂无分享,去创建一个
An approach to computer recognition of 3-D objects is presented. The vision system acquires the useful knowledge about the objects by taking their pictures at several stable positions and with various viewing angles. The acquired knowledge is represented by four levels of geographic codes. At each stable position, the object is characterized by a set of geographic code clusters. During the training phase, a knowledge base for geographic encoding representation is created. In the recognition phase, the vision system extracts the geographic codes of unknown objects and performs pattern cluster matching for the identification of the objects.<<ETX>>
[1] Kuo-Chin Fan,et al. Geo-Graphic Code Representation Of 3-D Objects From Their Pictorial Drawings , 1988, Defense, Security, and Sensing.
[2] Chung-Lin Huang,et al. Automatic Generation Of 3-D Pictorial Drawing From Intensity Image , 1987, Other Conferences.
[3] Julius T. Tou,et al. Recognition of 3-D Objects Via Spatial Understanding of 2-D Images , 1985, CAIA.
[4] J. Tou. Knowledge-based systems for robotic applications , 1987 .