Error analysis for image-based rendering with depth information
IEEE Transactions on Image Processing
Cell/B.E. based on-line multi-view broadcasting system
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
RD-optimized interactive streaming of multiview video with multiple encodings
Journal of Visual Communication and Image Representation
Optimised grab method of images for the manipulation of virtual objects
International Journal of Networking and Virtual Organisations
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In this paper, we propose to capture image-based rendering scenes using a novel approach called active rearranged capturing (ARC). Given the total number of available cameras, ARC moves them strategically on the camera plane in order to minimize the sum of squared rendering errors for a given set of light rays to be rendered. Assuming the scene changes slowly so that the optimized camera locations are valid in the next time instance, we formulate the problem as a recursive weighted vector quantization problem, which can be solved efficiently. The ARC approach is verified on both synthetic and real-world scenes. In particular, a large self-reconfigurable camera array is built to demonstrate ARC's performance on real-world scenes. The system renders virtual views at 5-10 frames/s depending on the scene complexity on a moderately equipped computer. Given the virtual view point, the cameras move on a set of rails to perform ARC and improve the rendering quality on the fly