Efficient Deformable Template Detection and Localization without User Initialization

@article{Coughlan2000EfficientDT,
  title={Efficient Deformable Template Detection and Localization without User Initialization},
  author={James M. Coughlan and Alan L. Yuille and Camper English and Daniel Snow},
  journal={Computer Vision and Image Understanding},
  year={2000},
  volume={78},
  pages={303-319}
}
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 seconds on a Pentium 150. The template is translationand rotation-invariant and accomodates shape deformation, significant occlusion and background clutter, and the presence of multiple hands. 
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