Abstract
A central problem in stereo matching using correlation techniques lies in selecting the size of the search window. Small windows contain only a small number of data points, and thus are very sensitive to noise and therefore result in false matches. Whereas large search windows contain data from two or more different objects or surfaces, thus the estimated disparity is not accurate due to different projective distortions in the left and the right image.
The new method introduces a continuous scale parameter for the matching process. It allows the adaption of the scale for every individual region and overcomes the drawbacks of fixed window sizes which is impressively demonstrated by the experimental results.
This work was supported by the Austrian Science Foundation (FWF) under the grant Nr. P09954-SPR.
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© 1997 Springer-Verlag Berlin Heidelberg
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Menard, C. (1997). Stereo correspondences in scale space. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63930-6_166
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DOI: https://doi.org/10.1007/3-540-63930-6_166
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