Zero-disparity adjustment of multiview stereoscopic images based on SIFT matching

A zero-disparity adjustment method based on SIFT matching was proposed for multiview stereoscopic images using in autostereoscopic display system. First, SIFT was introduced for pixel matching between adjacent views. Then, the result of SIFT matching was filtered by saliency mask which was extracted using frequency-tuned saliency model, and the key-point of disparity control was selected. Finally, the disparity between the neighboring views was computed based on SIFT matching points, and zero-disparity adjustment was conducted based on the principle of disparity control. The disparity of selected key-point was adjusted to zero. Experimental results demonstrate that the proposed method can effectively adjust the disparity of multiview stereoscopic images and generate vivid and comfortable 3D scenes for autostereoscopic display.