Wide baseline cameras are broadly utilized in binocular vision systems, delivering depth information and stereoscopic images of the scene that are crucial both in virtual reality and in computer vision applications. However, due to the large distance between the two cameras, the stereoscopic composition of stereo pairs with wide baseline is hardly to fit the human eye parallax. In this paper, techniques and algorithms for the stereoscopic composition of wide baseline stereo pairs in binocular vision will be investigated. By incorporating the human parallax limitation, a novel algorithm being capable of adjusting the wide baseline stereo pairs to compose a high quality stereoscopic image will be formulated. The main idea behind the proposed algorithm is, by simulating the eyeball rotation, to shift the wide baseline stereo pairs closer to each other to fit the human parallax limit. This makes it possible for the wide baseline stereo pairs to be composed into a recognizable stereoscopic image in terms of human parallax with a minor cost of variation in the depth cue. In addition, the depth variations before and after the shifting of the stereo pairs are evaluated by conducting an error estimation. Examples are provided for the evaluation of the proposed algorithm. And the quality of the composed stereoscopic images proves that the proposed algorithm is both valid and effective.

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