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Seeing Behind Occlusion
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@TechReport{Ballard:TR94,
  author = 	 {Dana H. Ballard and Rajesh P.N. Rao},
  title = 	 {Seeing Behind Occlusion},
  institution =  {Comp. Sci. Dept. University of Rochester},
  year = 	 {1994},
  number = 	 {487},
  address = 	 {Rochester NY},
  month = 	 {February},
  abstract =     { 
The location of objects in images is difficult owing to the view variance of 
geometric features but can be determined by developing view-insensitive 
descriptions of the intensities local to image points. View-insensitive 
descriptions are achieved in this work by describing points in terms of the 
responses of steerable filters at multiple scales. Owing to the use of multiple 
scales, the vector for each point is, for all practical purposes, unique, and 
thus can be easily matched to other instances of the point in other images. We 
show that this method can be extended to handle the case where the area near a p
oint of interest is partially occluded. The method uses a description of the 
occluder in the form of a template that can be obtained easily via active vision 
systems using a method such as disparity filtering.   }
}