Automatic View Synthesis by Image-Domain-Warping

作者：Stefanoski Nikolce^*; Wang Oliver; Lang Manuel; Greisen Pierre; Heinzle Simon; Smolic Aljosa

来源：IEEE Transactions on Image Processing, 2013, 22(9): 3329-3341.

DOI：10.1109/TIP.2013.2264817

• Three dimensional TV
• autostereoscopic displays
• format conversion
• automatic image synthesis
• content creation for multiview autosterescopic displays
• energy minimization
• sparse disparities
• disparity constraints

Today, stereoscopic 3D (S3D) cinema is already mainstream, and almost all new display devices for the home support S3D content. S3D distribution infrastructure to the home is already established partly in the form of 3D Blu-ray discs, video on demand services, or television channels. The necessity to wear glasses is, however, often considered as an obstacle, which hinders broader acceptance of this technology in the home. Multiviewautostereoscopic displays enable a glasses free perception of S3D content for several observers simultaneously, and support head motion parallax in a limited range. To support multiviewautostereoscopic displays in an already established S3D distribution infrastructure, a synthesis of new views from S3D video is needed. In this paper, a view synthesis method based on image-domain-warping (IDW) is presented that automatically synthesizes new views directly from S3D video and functions completely. IDW relies on an automatic and robust estimation of sparse disparities and image saliency information, and enforces target disparities in synthesized images using an image warping framework. Two configurations of the view synthesizer in the scope of a transmission and view synthesis framework are analyzed and evaluated. A transmission and view synthesis system that uses IDW is recently submitted to MPEG's call for proposals on 3D video technology, where it is ranked among the four best performing proposals.

• 出版日期2013-9