An attention-based method for extracting salient regions of interest from stereo images

The fundamental problem of computer vision is caused by the translation of a three-dimensional world onto one or more two-dimensional planes. As a result, methods for extracting regions of interest (ROIs) have certain limitations that cannot be overcome with traditional techniques that only utilize a single projection of the image. For example, while it is difficult to distinguished two overlapping, homogeneous regions with a single intensity or color image, depth information can usually easily be used to separate the regions. In this paper we present an extension to an existing saliency-based ROI extraction method. By adding depth information to the existing method many previously difficult scenarios can now be handled. Experimental results show consistently improved ROI segmentation.