This Article 
 Bibliographic References 
 Add to: 
Viewer Independent Shape Recognition
June 1983 (vol. 5 no. 6)
pp. 653-660
Dana H. Ballard, Department of Computer Science, University of Rochester, Rochester, NY 14627.
Daniel Sabbah, Department of Computer Science, University of Rochester, Rochester, NY 14627.
An important problem in vision is to detect the presence of a known rigid 3-D object. The general 3-D object recognition task can be thought of as building a description of the object that must have at least two parts: 1) the internal description of the object itself (with respect to an object-centered frame); and 2) the transformation of the object-centered frame to the viewer-centered (image) frame. The reason for this decomposition is parsimony: different views of the object should have minimal impact on its description. This is achieved by factoring the object's description into two sets of parameters, one which is view-independent (the object-centered component) and one which is view-varying (the viewing transformation). Often a description of the object is known beforehand and the task reduces to finding the objectframe to viewer-frame transformation. This paper describes a method for handling this case: a known object is detected by finding changes in orientation, translation, and scale of the object from its canonical description. The method is a Hough technique and has the characteristic insensitivity to occlusion and noise.
Dana H. Ballard, Daniel Sabbah, "Viewer Independent Shape Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 5, no. 6, pp. 653-660, June 1983, doi:10.1109/TPAMI.1983.4767456
Usage of this product signifies your acceptance of the Terms of Use.