An adaptive object-based reconstruction of intermediate views from stereoscopic images

An intermediate view reconstruction is required in many applications. In this contribution, an adaptive object-based algorithm for intermediate view reconstruction of stereoscopic images is proposed. The disparity fields between the left-eye and the right-eye images are first estimated and then post-processed for recovering the disparity values in occluded areas. After that, the intermediate view is adaptively interpolated from the stereoscopic images using object-based disparity compensation. Tests with natural stereoscopic sequences show that the reconstructed views have high image quality and create very clean and stable depth when viewed stereoscopically