Integrated use of multiple image sensors to determine motion field

Abstract

A scheme of motion estimation using multiple image sensors is proposed, in which the multiple image sensors work at different integration intervals or different sampling instances. Because combined use of multiple image sensors increases the temporal resolution while keeping signal to noise ratio high, the accuracy of the estimation can be improved. Both a gradient-based and a block-matching-based method are formulated for the images obtained by the multiple image sensors. The experimental results show that the proposed scheme significantly improves the accuracy and reduces computational complexity. Theoretical analysis of estimation error is also given that shows that the appropriate use of multiple imagers makes estimation more precise. >