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Beyond standard regularization theory

  • Zhiyong Yang
  • Songde Ma
Low Level Processing II
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1296)

Abstract

A set of local interaction field are suggested to replace the δ error term in usual regularization approaches. These local fields bring some computational and conceptual benefits. A set of local oriented position pinning fields and orientation tuning fields are suggested to use local position and orientation correlations directly in regularization. Some simple experiments show that these generalizations are useful in many cases.

Keywords

Principal Curvature Markov Random Field Surface Patch Orientation Data Regularization Theory 
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 1997

Authors and Affiliations

  • Zhiyong Yang
    • 1
  • Songde Ma
    • 1
  1. 1.National Laboratory of Pattern RecognitionInstitute of Automation, Chinese Academy of SciencesBeijingChina

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