Stereo Image Coding
نویسنده
چکیده
This paper discusses a method for stereo image coding. We assume stereo images that try to imitate the human visual system, i.e. the two camera planes must be coplanar. First we apply an intensity based stereo algorithm using cooperative bidirectional matching with a hierarchical multilevel structure that returns depth eld and occlusion information. This information can be used to estimate the disparity of pixels from one image to the other one. On the one hand one might use the full depth information to be able to generate synthetic virtual views, on the other hand, if one is only interested in transferring the stereo image pair, one can divide the image into objects of similar depth and code these like in MPEG-4. Similar to objects in image sequences, the object of the second stereo image can be predicted by applying a translation to each object.
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