DocumentCode
2966971
Title
Partial shape recognition: a landmark-based approach
Author
Ansari, Nirwan ; Delp, Edward J.
Author_Institution
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear
1989
fDate
14-17 Nov 1989
Firstpage
831
Abstract
A technique to guide landmark matching known as hopping dynamic programming is described. The location of the model in the scene is estimated with a least-squares fit. A heuristic measure is then computed to decide if the model is in the scene. The shape features of an object are the landmarks associated with the object. The landmarks of an object are defined as the points of interest of the object that have important shape attributes. Examples of landmarks are corners, holes, protrusions, and high-curvature points
Keywords
dynamic programming; least squares approximations; pattern recognition; heuristic; hopping dynamic programming; landmark matching; least-squares; partial shape recognition; Computer vision; Feature extraction; Image processing; Laboratories; Layout; Least squares approximation; Pattern recognition; Performance evaluation; Shape measurement; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1989. Conference Proceedings., IEEE International Conference on
Conference_Location
Cambridge, MA
Type
conf
DOI
10.1109/ICSMC.1989.71410
Filename
71410
Link To Document