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Real-time image-based rendering system for virtual city based on image compression technique and eigen texture method

Ryo Sato, Shintaro Ono, Hiroshi Kawasaki, Katsushi Ikeuchi
Saitama Univeristy, Saitama
19th International Conference on Pattern Recognition, 2008. ICPR 2008

@inproceedings{sato2008real,

   title={Real-time image-based rendering system for virtual city based on image compression technique and eigen texture method},

   author={Sato, R. and Ono, S. and Kawasaki, H. and Ikeuchi, K.},

   booktitle={Pattern Recognition, 2008. ICPR 2008. 19th International Conference on},

   pages={1–4},

   year={2008},

   organization={IEEE}

}

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Computer modeling of a large-scale scene such as a city becomes an important topic for computer vision and computer graphics research areas etc. Image-based rendering (IBR) is an effective method for expressing realistic scene, and can construct any arbitrary viewpoint by using the captured real images. However, the large size of the image database in IBR causes serious problems in actual applications, leading to the use of compression techniques. We propose a compression technique based on eigen space combined with a block matching technique to get better result. We also propose a technique to restore the compressed data on Graphic Processing Unit (GPU), allowing us to perform high-speed rendering without raising the load on the CPU.
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