A new approach to stereo image matching based on multiresolution wavelet analysis

• Autorzy: Jaworska T.
• Konferencja: Conference on Computer Graphics and Image Processing, GKPO' 2000 (6 ; 15-19.05.2000 ; Polesie, Poland)
• Języki publikacji: EN

Abstrakty

EN

Automatic stereo matching in an importamt problem and many algorithms have been developed already. The paper presents a new stereo matching algorithm. Correspondence and disparity esablished between points. of two images is the result of stereo matching. The proposed solution is based on wavelet transform. A two-dimensional digital image is a signal which is analyzed in wanelet space. Each image of stereopair is decomposed using multiresolution analysis for many levels from fine-to-coarse. Each image is also decomposed into an approximation and details (vertical, horizontal and diagonal) which are computed using a recursive algorithm of Mallat [8]. In the proposed approach a disparuty is found in the wavelet transform space. The minimization problem which appears in disparity determination is solved using a Hopfield neural network. The neural network is used for finding the disparity separately for approximation and details in the horizontal direction and separately for aproximation and details in the vertical direction. The approach is based on constructing vectors containing coefficients from each level. The number of vectors is equal to the numbers of coefficients at the finest level. Vectors are constructed for coefficients of approximation and for sum of coefficients of approximation and details respectively. A norm of the difference of vectors is set as neurons bias.

Słowa kluczowe

EN

stereo matching; point-to-point correspondence; wavelet transform; multiresolution analysis; Hopfield neural network

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2000
• Tom: Vol. 9, No. 1/2
• Strony: 439--446
• Opis fizyczny: Bibliogr. 8 poz.

Twórcy

autor

Jaworska T.

• Systems Research Institute, Polish Academy of Sciences, Newelska 6 Str, 01-447 Warsaw, Poland,