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New approach for scale, rotation, and translation invariant pattern recognition

机译:New approach for scale, rotation, and translation invariant pattern recognition

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摘要

A new approach for scaling, rotation, and translation invariant object recognition is proposed. The geometric discrepancy between the test pattern and the related reference pattern can be reduced by applying affine transform to the test pattern with the parameters estimated from the affine relation between the control points of both parties. The automatically paired control points are the centroids of patterns' desired regions with specific gray level distributions. By means of the analysis of intrinsic invariance properties, a small number of reference templates are required to deal with the residual geometric variation of the transformed test pattern. Consequently, a simple similarity measure can be employed directly without any scale and rotation invariant feature extraction. # 1997 Society of Photo-Optical Instrumentation Engineers. S0091-3286(97)01804-7 Subject terms: invariant pattern recognition; affine transform; intrinsic invariance property. Paper 31066 received June 22, 1996; revised manuscript received Oct. 23, 1996; accepted for publication Oct. 24, 1996.

著录项

  • 来源
    《Optical Engineering》 |1997年第6期|1113-1122|共10页
  • 作者

    Wen-Hao Wang; Yung-Chang Chen;

  • 作者单位

    National Tsing Hua University institute of Electrical Engineering /Hsinchu, Taiwan 30043 E-mail: ycchen @ ee.nthu.edu.tw;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类 光学仪器;
  • 关键词

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