A New Accumulator-Based Approach to Shape Recognition

  • Karthik Krish
  • Wesley Snyder
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5359)


An algorithm is presented which uses evidence accumulation to perform shape recognition. Because it uses accumulators, noise and isotropic measurement errors tend to average out. Furthermore, such methods are intrinsically parallel. It is demonstrated to perform better than any competing technique, and is particularly robust under partial occlusion. Its performance is demonstrated in applications of silhouette and face recognition using only edges and in solving the correspondence problem for image registration. The method uses only biologically-reasonable computations.


Face Recognition Salient Point Partial Occlusion Correct Match Shape Context 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Karthik Krish
    • 1
  • Wesley Snyder
    • 1
  1. 1.Department of Electrical and Computer EngineeringNorth Carolina State UniversityUSA

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