2-1. Computational Photography

[1]  Gordon Wetzstein,et al.  Radiometric Compensation through Inverse Light Transport , 2007 .

[2]  Frédo Durand,et al.  Image and depth from a conventional camera with a coded aperture , 2007, SIGGRAPH 2007.

[3]  Andrew Gardner,et al.  Performance relighting and reflectance transformation with time-multiplexed illumination , 2005, SIGGRAPH 2005.

[4]  Ramesh Raskar,et al.  Coded exposure photography: motion deblurring using fluttered shutter , 2006, SIGGRAPH 2006.

[5]  Ramesh Raskar,et al.  Less is More Coded Computational Photography （符号化された写真からシーン情報を復元する計算機写真術） , 2008 .

[6]  Ramesh Raskar,et al.  Fast separation of direct and global components of a scene using high frequency illumination , 2006, SIGGRAPH 2006.

[7]  Shree K. Nayar,et al.  Flexible Depth of Field Photography , 2008, ECCV.

[8]  E. Fenimore.  Coded aperture imaging: predicted performance of uniformly redundant arrays. , 1978, Applied optics.

[9]  Takashi Matsuyama,et al.  Depth measurement by the multi-focus camera , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[10]  Shree K. Nayar,et al.  Compressive Structured Light for Recovering Inhomogeneous Participating Media , 2008, ECCV.

[11]  Ramesh Raskar,et al.  Dappled photography: mask enhanced cameras for heterodyned light fields and coded aperture refocusing , 2007, SIGGRAPH 2007.

[12]  P. Hanrahan,et al.  Light Field Photography with a Hand-held Plenoptic Camera , 2005 .