Computational Photography and Videography


Computational photography is an emerging field, aiming to use computational techniques to break a camera's limitations on its resolution, aspect ratio, dynamic range, field of view and quality. Along this line, we had the following research results. We have also investigated methods to animate still pictures into video textures. The results was published in SIGGRAPH 2005.


Blur Kernel Estimation using Normalized Color-Line Priors
Wei-Sheng Lai, Jian-Jiun Ding, Yen-Yu Lin, Yung-Yu Chuang
CVPR 2015
Shape-Preserving Half-Projective Warps for Image Stitching
Che-Han Chang, Yoichi Sato, Yung-Yu Chuang
CVPR 2014
Target-Driven Moire Pattern Synthesis by Phase Modulation
Pei-Hen Tsai, Yung-Yu Chuang
ICCV 2013
Rectangling Stereographic Projection for Wide-Angle Image Visualization
Che-Han Chang, Min-Chun Hu, Wen-Huang Cheng, Yung-Yu Chuang
ICCV 2013
A Line-Structure-Preserving Approach to Image Resizing
Che-Han Chang, Yung-Yu Chuang
CVPR 2012
Video Stabilization using Robust Feature Trajectories
Ken-Yi Lee, Yung-Yu Chuang, Bing-Yu Chen, Ming Ouhyoung
ICCV 2009
High Dynamic Range Image Reconstruction from Hand-held Cameras
Pei-Ying Lu, Tz-Huan Huang, Meng-Sung Wu, Yi-Ting Cheng, Yung-Yu Chuang
CVPR 2009
Animating Pictures with Stochastic Motion Textures
Yung-Yu Chuang, Dan B Goldman, Ke Colin Zheng, Brian Curless, David Salesin, Richard Szeliski


This research is supported by:

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