Point feature matching adopting Walsh transform

El-Sayed H. El-Konyaly; Sabry Fouad Saraya; Wael Wageeh Abd Almageed Al-Khazragy

doi:10.1117/12.290330

26 September 1997 Point feature matching adopting Walsh transform

El-Sayed H. El-Konyaly, Sabry Fouad Saraya, Wael Wageeh Abd Almageed Al-Khazragy

Proceedings Volume 3208, Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling; (1997) https://doi.org/10.1117/12.290330
Event: Intelligent Systems and Advanced Manufacturing, 1997, Pittsburgh, PA, United States

Abstract

This paper introduces a new method to solve the problem of matching correspondent feature points across two images containing a moving rigid object. Two successive time-varying images are used. Edge points are first extracted using a 3 by 3 Laplacian mask. Walsh transformation is then applied to the feature points in both images. The choice of Walsh transformation in contrast to other orthogonal transforms is a direct result of its computational simplicity and its interpretative meaning in terms of information contained in the spatial domain. Two premises are applied as matching rules. The first involves the speed of object and imaging system, while the other involves the selection of the best match from the set of candidate matches. Unlike other matching techniques, the computational complexity of the proposed technique does not grow up with to the number of detected feature points in either of the two images. This characteristic gives the technique a great flexibility. Experimental results are given and assessed in terms of both accuracy and computational complexity.

Citation Download Citation

El-Sayed H. El-Konyaly, Sabry Fouad Saraya, and Wael Wageeh Abd Almageed Al-Khazragy "Point feature matching adopting Walsh transform", Proc. SPIE 3208, Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling, (26 September 1997); https://doi.org/10.1117/12.290330

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