Abstract
Log-polar imaging is an important topic in space-variant active vision, and facilitates some visual tasks. Translation estimation, though essential for active tracking, is more difficult in (log-)polar coordinates. We propose here a novel, conceptually simple, effective, and efficient method for translational motion estimation. It is based on a gradient-based minimization procedure. Experimental results with log-polar images using a software-based log-polar remmapper are presented.
This work has been partially supported by projects GV97-TI-05-27 from the Conselleria d’Educació, Cultura i Ciència, Generalitat Valenciana, and CICYT TIC98-0677-C02-01 from the Spanish Ministerio de Educación y Cultura.
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© 2001 Springer-Verlag Berlin Heidelberg
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Traver, V.J., Pla, F. (2001). An Optimization Approach for Translational Motion Estimation in Log-Polar Domain. In: Skarbek, W. (eds) Computer Analysis of Images and Patterns. CAIP 2001. Lecture Notes in Computer Science, vol 2124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44692-3_45
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DOI: https://doi.org/10.1007/3-540-44692-3_45
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