Implementation of multiview stereoscopic image based-on adaptive object segmentation

In general, the stereo input images obtained by the parallel-axis camera system lacks in the common field of view and the disparity information of the object due to its configuration limitation. In this paper, a new scheme is proposed, in which this stereopsis can be improved by adaptively controlling the disparity of the input stereo images. In the proposed method, each object in the stereo input image is segmented by considering the relative distance information of them and then, each segmented object is horizontally shifted according to these values, in which especially the differential shifting scheme is applied to maximize the stereopsis of the stereo input images. From some experimental results, it is shown that the proposed method improves the disparity of the original stereo image about 1.6 dB in PSNR. In addition, 6-view stereoscopic image synthesized by the proposed method is presented.