[특허]Wavelet projection transform features applied to real time pattern recognition

Wavelet projection transform features applied to real time pattern recognition 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G06K-009/36
출원번호	US-0833482 (1997-04-07)
발명자 / 주소	Garcia Joseph P.
출원인 / 주소	The United States of America as represented by the Secretary of the Navy
대리인 / 주소	Bechtel, Esq.
인용정보	피인용 횟수 : 48 인용 특허 : 0

초록 ▼

A computer vision system having improved means for characterizing the parameters of edge segments of an unknown object is disclosed. The unknown object is transformed by a digital camera into an image and transformed by a wavelet projection transform so as to decompose the unknown objects into their constituent multi-scale edge segment features and provide recognition of the unknown object by relating their constituent edge features to each other.

대표청구항 ▼

[ What we claim is:] [1.] A method of operating a computer vision system having a digital camera outputting a digital image, for recognizing an unknown object having multi-scale edge segment components by converting the digital image into a particular representation, said method comprising the steps of:(a) transforming by a wavelet projection transform (WPT), said digital image into a first signal having at least four (4) dimensions and having corresponding space dimensions and defining a wavelet projection transform (WPT) domain;(b) processing said four dimensional transform to find a set of representative quantities that correspond to constituent multi-scale edge segment (MSES) features of the digital image so as to yield an efficient edge feature decomposition of said digital image;(c) grouping at least two MSES representative quantities into groups whereby a particular group is referable to as a location of a particular MSES representative quantity;(d) deriving a set of invariant relations having associated parameters between the at least two MSES representative quantities of said group of step (c), said derived set being in said four dimensional transform space and having specific invariances which include shift, scale and rotation invariance within an aspect view;(e) applying steps (a), (b), (c), and (d) to multiple aspect views of a prototype object and deriving a set of invariants having associated parameters for the said multiple aspect views and forming a library of said invariants for said prototype objects, and applying said steps (a), (b), (c) and (d) to the image of an unknown object;(f) correlating said set of invariant relations of said step (d) to said set of invariant relations of step (e) so as to generate at least four dimensional digital signals which are representative of a particular class of prototype objects and have multidimensional phases which are functions of corresponding MSES representative quantities derived from the unknown image and parameters associated with the invariants derived from the prototype object; and(g) superposing the said representative signals of step (f) and storing the results such that the correlations and matches of digital image MSES components corresponding to those of the library of prototype objects result in coherent superpositioning of said representative signals and then determining the degree of coherence by performing a digital matched filtering operation with a reference signal derived from a representative signal of a particular class of prototype objects such that a correlation peak indicates the recognition of the unknown object in the digital image and the position of the correlation peak indicates the position of the recognized unknown object.

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연합인증

Wavelet projection transform features applied to real time pattern recognition 원문보기

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Wavelet projection transform features applied to real time pattern recognition 원문보기

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