Title :
Partial shape recognition using dynamic programming
Author :
Gorman, John W. ; Mitchell, O. Robert ; Kuhl, Frank P.
Author_Institution :
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
fDate :
3/1/1988 12:00:00 AM
Abstract :
A partial-shape-recognition technique utilizing local features described by Fourier descriptors is introduced. A dynamic programming formulation for shape matching is developed, and a method for comparison of match quality is discussed. This technique is shown to recognize unknown contours that may be occluded or that may overlap other objects. Precise scale information is not required, and the unknown objects may appear at any orientation with respect to the camera. The segment-matching dynamic programming method is contrasted with other sequence-comparison techniques that utilize dynamic programming. Experimental results are discussed that indicate that partial contours can be recognized with reasonable accuracy
Keywords :
Fourier analysis; dynamic programming; pattern recognition; picture processing; Fourier descriptors; dynamic programming; partial contours; partial-shape-recognition; pattern recognition; picture processing; segment-matching; Cameras; Clouds; Dynamic programming; Image analysis; Image recognition; Image segmentation; Image sequence analysis; Libraries; Rendering (computer graphics); Shape;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on