{"id":909132,"date":"2022-12-20T08:00:21","date_gmt":"2022-12-20T16:00:21","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/"},"modified":"2022-12-20T08:00:21","modified_gmt":"2022-12-20T16:00:21","slug":"efficient-dense-stereo-with-occlusion-for-new-view-synthesis-by-four-state-dynamic-programming-2","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/efficient-dense-stereo-with-occlusion-for-new-view-synthesis-by-four-state-dynamic-programming-2\/","title":{"rendered":"Efficient Dense Stereo with Occlusion for New View-Synthesis by Four-State Dynamic Programming"},"content":{"rendered":"<p>A new algorithm is proposed for ef\ufb01cient stereo and novel view synthesis. Given the video streams acquired by two synchronized cameras the proposed algorithm synthesises images from a virtual camera in arbitrary position near the physical cameras. The new technique is based on an improved, dynamic-programming, stereo algorithm for ef\ufb01cient novel view generation. The two main contributions of this paper are: i) a new four state matching graph for dense stereo dynamic programming, that supports accurate occlusion labelling; ii) a compact geometric derivation for novel view synthesis by direct projection of the minimum cost surface. Furthermore, the paper presents an algorithm for the temporal maintenance of a background model to enhance the rendering of occlusions and reduce temporal artefacts (\ufb02icker); and a cost aggregation algorithm that acts directly in the three-dimensional matching cost space. The proposed algorithm has been designed to work with input images with large disparity range, a common practical situation. The enhanced occlusion handling capabilities of the new dynamic programming algorithm are evaluated against those of the most powerful state-of-the-art dynamic programming and graph-cut techniques. Four-state DP is also evaluated against the disparity-based Middlebury error metrics and its performance found to be amongst the best of the ef\ufb01cient algorithms. A number of examples demonstrate the robustness of four-state DP to artefacts in stereo video streams. This includes demonstrations of cyclopean view synthesis in extended conversational sequences, synthesis from a freely translating virtual camera and, \ufb01nally, basic 3D scene editing.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A new algorithm is proposed for ef\ufb01cient stereo and novel view synthesis. Given the video streams acquired by two synchronized cameras the proposed algorithm synthesises images from a virtual camera in arbitrary position near the physical cameras. The new technique is based on an improved, dynamic-programming, stereo algorithm for ef\ufb01cient novel view generation. The two 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