Motion estimation using multiple image sensors

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 virtually increases the temporal resolution while keeping signal to noise ratio high enough, the accuracy of the estimation can be improved. Both gradient-based and block-matching-based methods are formulated for the images obtained by the multiple image sensors. Tile experimental results show that the proposed scheme significantly improves the accuracy and reduces computational complexity. >