Probabilistic Principle Component Analysis on Time Lapse images
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[1] Harry Shum,et al. Principal Component Analysis with Missing Data and Its Application to Polyhedral Object Modeling , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[2] Michael J. Black,et al. Robust Principal Component Analysis for Computer Vision , 2001, ICCV.
[3] Yair Weiss,et al. Deriving intrinsic images from image sequences , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[4] Matthew Brand,et al. Incremental Singular Value Decomposition of Uncertain Data with Missing Values , 2002, ECCV.
[5] Ben Taskar,et al. Discriminative learning of Markov random fields for segmentation of 3D scan data , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[6] Robert Pless,et al. Consistent Temporal Variations in Many Outdoor Scenes , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Leonard McMillan,et al. Computational time-lapse video , 2007, SIGGRAPH 2007.
[8] Wojciech Matusik,et al. Factored time-lapse video , 2007, SIGGRAPH 2007.
[9] Wojciech Matusik,et al. What do color changes reveal about an outdoor scene? , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Steven M. Seitz,et al. The dimensionality of scene appearance , 2009, 2009 IEEE 12th International Conference on Computer Vision.