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papers:simard-99 [2007/02/02 08:26]
leonb abstract
papers:simard-99 [2007/02/02 08:49]
leonb
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 ===== Boxlets: a Fast Convolution Algorithm for Neural Networks and Signal Processing ===== ===== Boxlets: a Fast Convolution Algorithm for Neural Networks and Signal Processing =====
  
-//Abstract//+//Abstract//:
 Signal processing and pattern recognition algorithms make extensive use of convolution. In many cases, computational accuracy is Signal processing and pattern recognition algorithms make extensive use of convolution. In many cases, computational accuracy is
 not as important as computational speed. In feature extraction, not as important as computational speed. In feature extraction,
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   }   }
  
 +
 +==== Notes ====
 +
 +Maybe the most famous use of boxlets is the computation of the features of the Viola-Jones object recognition system [1,2]. The //integral image// representation is a boxlet of order zero. This was also described in [3] (see the paper for details.)
 +
 +
 +  * **[1]**  Paul Viola, Michael Jones: Robust Real-time Object Detection, //Second International Workshop on Statistical and Computational Theories of Vision - Modeling, Learning, Computing, and Sampling//, Vancouver, July 2001.
 +  * **[2]** Paul Viola, Michael Jones: Robust Real-time Object Detection, //International Journal of Computer Vision//, 57(2):137-154, 2004
 +  * **[3]** Paul S. Heckberg:  Filtering by repeated integration. //ACM SlGGRAPH
 +conference on Computer graphics//, 20:315-321, Dallas, 1986
papers/simard-99.txt ยท Last modified: 2018/12/06 10:04 by leonb

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