Optical normal flow estimation on log-polar images. A solution for real-time binocular vision

Jorge Dias, Helder Araújo, Carlos Paredes, Jorge Batista

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

This paper is concerned with a computational solution for normal optical flow estimation using space-variant image sampling. The article describes one solution for the problem based on log-polar images, including the algorithm implementation on digital signal processing hardware. The log-polar structure achieves high data compressing rates by maintaining a high resolution area-the fovea - and a space-variant resolution - the retinal periphery. This sampling scheme enables the implementation of selective processing, characteristic of attentive vision. The solution was developed to be used with an active vision system to pursue moving objects, assuming that the cameras could also move. Some properties of the log-polar structure are also described and the main results of the implementation are presented.

Original languageBritish English
Pages (from-to)213-228
Number of pages16
JournalReal-Time Imaging
Volume3
Issue number3
DOIs
StatePublished - 1997

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