Abstract

In order to synthesize intermediate-view images of arbitrary viewpoints between a pair of left and right view images, we propose two methods for disparity estimation with discontinuity at object contours. Both methods have four steps : (1) Two initial disparity maps based on left and right images are estimated with block matching. (2) Ill-corresponding areas in both of the initial disparity maps are detected using 'confidence evaluation'. The object contours are, then, detected by (i) Snakes method or (ii) Automatic Contour Detection (ACD) method. (3) The disparity maps are reestimated with discontinuity at the object contours. (4) The reestimated disparity maps are used to synthesize two intermediate-view images based on both view images and these images are integrated into the final intermediate-view image. Our methods can estimate the disparity of occluded areas with discontinuity at the object contours. Experimental results show our methods yield better quality intermediate-view images near the object contours than do ones using the initial disparities.

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