Invariant feature extraction with exponential chirp transform

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  • Nonaka Tomonori
    Graduate School of Electro-Communications, Course in Communications and Systems, University of Electro-Communications.
  • Mitsuhashi Wataru
    Graduate School of Electro-Communications, Course in Communications and Systems, University of Electro-Communications.

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Other Title
  • 指数チャープ変換を用いた不変特徴抽出
  • シスウ チャープ ヘンカン オ モチイタ フヘン トクチョウ チュウシュツ

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Abstract

To recognize an object with an arbitrary attitude, the employed algorithm must guarantee an ability to extract invariant features against various attitudes of the target object. In this paper, we propose a new method to discriminate an object in 2D image plane moved with unknown parameters of motions such as rotation, dilation, and translation. The method is based on the exponential chirp transform(ECT), proposed by G. Bonmassar and E.L. Schwartz, to perform the complex-logarithmic mapping(CLM)with a slight offset for avoiding the singularity around the origin. There is a fast algorithm for ECT, and the size of images to be processed is considerably reduced by the CLM, thus yielding a fast performance for pattern recognition. Experimental results show that an object with arbitrary motions is reliably discriminated.

Journal

  • ITE Technical Report

    ITE Technical Report 24.10 (0), 73-78, 2000

    The Institute of Image Information and Television Engineers

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