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» The Computational Complexity of Linear Optics
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125
Voted
CVPR
2008
IEEE
16 years 5 months ago
Motion from blur
Motion blur retains some information about motion, based on which motion may be recovered from blurred images. This is a difficult problem, as the situations of motion blur can be...
Shengyang Dai, Ying Wu
130
Voted
CVPR
2010
IEEE
15 years 11 months ago
Specular Surface Reconstruction from Sparse Reflection Correspondences
We present a practical approach for surface reconstruction of smooth mirror-like objects using sparse reflection correspondences (RCs). Assuming finite object motion with a fix...
Aswin Sankaranarayanan, Ashok Veeraraghavan, Oncel...
113
Voted
WACV
2002
IEEE
15 years 8 months ago
Appearance-based Eye Gaze Estimation
We present a method for estimating eye gaze direction, which represents a departure from conventional eye gaze estimation methods, the majority of which are based on tracking spec...
Kar-Han Tan, David J. Kriegman, Narendra Ahuja
154
Voted
CVPR
2011
IEEE
14 years 7 months ago
Connecting Non-Quadratic Variational Models and MRFs
Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, opti...
Kevin Schelten, Stefan Roth
101
Voted
ICPR
2002
IEEE
16 years 4 months ago
A Fast Leading Eigenvector Approximation for Segmentation and Grouping
We present a fast non-iterative method for approximating the leading eigenvector so as to render graph-spectral based grouping algorithms more efficient. The approximation is base...
Antonio Robles-Kelly, Sudeep Sarkar, Edwin R. Hanc...