Recovering Affine Motion and Defocus Blur Simultaneously
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[1] Berthold K. P. Horn. Robot vision , 1986, MIT electrical engineering and computer science series.
[2] Bijan G. Mobasseri,et al. Virtual motion: 3-D scene recovery using focal length-induced optic flow , 1994, Proceedings of 1st International Conference on Image Processing.
[3] David J. Fleet,et al. Performance of optical flow techniques , 1994, International Journal of Computer Vision.
[4] Michal Irani,et al. Recovery of ego-motion using image stabilization , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[5] R. Manmatha,et al. A framework for recovering affine transforms using points, lines or image brightnesses , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[6] Alex Pentland,et al. A New Sense for Depth of Field , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Shree K. Nayar,et al. Real-time focus range sensor , 1995, Proceedings of IEEE International Conference on Computer Vision.
[8] Murali Subbarao,et al. Depth from defocus by changing camera aperture: a spatial domain approach , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[9] Steven A. Shafer,et al. Depth from focusing and defocusing , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[10] Rama Chellappa,et al. A generalized motion model for estimating optical flow using 3-D Hermite polynomials , 1994, Proceedings of 12th International Conference on Pattern Recognition.
[11] Michel Dhome,et al. Three-dimensional reconstruction by zooming , 1993, IEEE Trans. Robotics Autom..
[12] Peter Lawrence,et al. A matrix based method for determining depth from focus , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[13] Jun Ma,et al. Depth from zooming , 1990 .