Presentation 2000/2/3
Invariant feature extraction with exponential chirp transform
Tomonori Nonaka, Wataru Mitsuhashi,
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Abstract(in English) 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.
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Keyword(in English) Invariant Features / Pattern Recognition / Foveal Structure / Exponential Chirp Transform
Paper # EID99-136, IE99-132
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Committee EID
Conference Date 2000/2/3(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Invariant feature extraction with exponential chirp transform
Sub Title (in English)
Keyword(1) Invariant Features
Keyword(2) Pattern Recognition
Keyword(3) Foveal Structure
Keyword(4) Exponential Chirp Transform
1st Author's Name Tomonori Nonaka
1st Author's Affiliation Graduate School of Electro-Communications, Course in Communications and Systems, University of Electro-Communications()
2nd Author's Name Wataru Mitsuhashi
2nd Author's Affiliation Graduate School of Electro-Communications, Course in Communications and Systems, University of Electro-Communications
Date 2000/2/3
Paper # EID99-136, IE99-132
Volume (vol) vol.99
Number (no) 608
Page pp.pp.-
#Pages 6
Date of Issue