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Efficient Deformable Template Detection and Localization without User Initialization

✍ Scribed by James Coughlan; Alan Yuille; Camper English; Dan Snow


Book ID
102567656
Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
366 KB
Volume
78
Category
Article
ISSN
1077-3142

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✦ Synopsis


A novel deformable template is presented which detects the boundary of an open hand in a grayscale image without initialization by the user. A dynamic programming algorithm enhanced by pruning techniques finds the hand contour in the image in as little as 19 s on a Pentium 150 MHz. The template is translation-and rotationinvariant and accomodates shape deformation, significant occlusion and background clutter, and the presence of multiple hands.