Title :
Articulated object recognition, or: how to generalize the generalized Hough transform
Author :
Beinglass, Avinoam ; Wolfson, Haim J.
Author_Institution :
Dept. of Comput. Sci., Tel Aviv Univ., Israel
Abstract :
A method for model-based recognition of articulated objects in cluttered scenes is presented. The objects consist of rigid parts connected by rotary or prismatic joints. The method is based on an extension of the generalized Hough transform approach. It is applicable to various viewing transformations. Unlike previous methods there is no significant degradation in performance for recognition of articulated objects compared with the recognition of rigid objects containing similar amounts of information. The method was implemented and successfully tested for recognition of partially overlapping 2-D objects with rotary joints which have undergone rotation, translation, and scaling
Keywords :
pattern recognition; transforms; articulated object recognition; cluttered scenes; generalized Hough transform; model-based recognition; partially overlapping 2-D objects; performance; prismatic joints; rotary; scaling; translation; viewing transformations; Computer science; Degradation; Face detection; Layout; Machine vision; Machinery; Object recognition; Production facilities; Service robots; Testing;
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-8186-2148-6
DOI :
10.1109/CVPR.1991.139736
