Abstract
In this paper a plane-based backward warping algorithm is proposed to generate novel views from multiple reference images. first, depth information is employed to reconstruct space planes from individual reference images and calculate the potential occluding relationship between these planes. Then the planes which represent each identical space plane from different reference images are compared with each other to decide the one with the best sample rate to be preserved and used in the later warping period while the other samples are abandoned. While the image of a novel view is produced, traditional methods in computer graphics, such as visibility test and clipping, are used to process the planes reconstructed. Then the planes processed are projected onto the desired image from the knowledge on which plane the desired image pixels are warped from can be acquired. Finally, pixels' depth of the desired image is calculated and then a backward warping is performed from these pixels to the reference images to obtain their colors. The storage requirement in the algorithm is small and increases slowly with the number of reference images increases. By combining the strategy of only preserving the best sample parts and the backward warping algorithm, the sample problem could be well tackled.
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The work is supported by the National Natural Science Foundation of China (Grant Nos.60103011, 69873044 and 60033010) and the Research Grant of University of Macau (RG029/00-01 S/WEH/FST).
ZHANG YanCi is a Ph. D candidate of Institute of Software, Chinese Academy of Sciences. His research interests mainly include image-based rendering and virtual reality.
LIU XueHui received the Ph.D. degree from Institute of Software, Chinese Academy of Sciences in 1998. Now she is an associate professor in Institute of Software.
WU EnHua received the Ph.D. degree from University of Manchester of UK in 1984. Now he is a professor in Institute of Software, Chinese Academy of Sciences and University of Macau.
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Zhang, Y., Liu, X. & Wu, E. Accelerated backward warping. J. Comput. Sci. & Technol. 18, 48–55 (2003). https://doi.org/10.1007/BF02946650
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DOI: https://doi.org/10.1007/BF02946650