Correlation techniques in adaptive template matching with uncalibrated cameras

Paolo Remagnino; Pascal Brand; Roger Mohr

doi:10.1117/12.198613

4 January 1995 Correlation techniques in adaptive template matching with uncalibrated cameras

Paolo Remagnino, Pascal Brand, Roger Mohr

Proceedings Volume 2356, Vision Geometry III; (1995) https://doi.org/10.1117/12.198613
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

The use of correlation as a measure of similarity between two signals is a well known technique. Correlation is commonly used in stereo vision to solve the correspondence problem. In this context the aim is to find the position of a point in one of the two images of a weakly calibrated stereo pair which corresponds to a point in the other image. Template windows are chosen from the first image as 2D information samples to be matched in a region of interest of the second image. We propose a technique which exploits an adaptive template matching. It works as an iterative optimization of the involved parameters with a consequent iterative refinement of the correspondence. Matching is performed by transforming a template window using the current image-to-image affine transformation and exploiting the epipolar geometry to reduce the degrees of freedom of the template position in the region of interest. As a validation test of the presented technique we report a study on the accuracy of the obtained results with various template sizes. We show that subpixel accuracy can be reached with relatively small templates. A major concern of our work is the accuracy of the correspondence. Higher accuracy of the correspondences results in fact in a more realistic reconstruction of the viewed scene. In the case of a stereo pair having undergone an estimated distortion of 0.5 pixel (10 micrometers of pixel size) it shows an accuracy in the correspondence of 3 micrometers for template windows of 17 X 17 size selected in textured image patches. Experiments are under process to improve the mentioned results.

Citation Download Citation

Paolo Remagnino, Pascal Brand, and Roger Mohr "Correlation techniques in adaptive template matching with uncalibrated cameras", Proc. SPIE 2356, Vision Geometry III, (4 January 1995); https://doi.org/10.1117/12.198613

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