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» Discrete optimization in computer vision
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CVPR
2012
IEEE
12 years 11 days ago
Supervised hashing with kernels
Recent years have witnessed the growing popularity of hashing in large-scale vision problems. It has been shown that the hashing quality could be boosted by leveraging supervised ...
Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, Shi...
ISVC
2009
Springer
14 years 4 months ago
Accurate Real-Time Disparity Estimation with Variational Methods
Estimating the disparity field between two stereo images is a common task in computer vision, e.g., to determine a dense depth map. Variational methods currently are among the mos...
Sergey Kosov, Thorsten Thormählen, Hans-Peter...
VIS
2004
IEEE
166views Visualization» more  VIS 2004»
14 years 11 months ago
Centroidal Voronoi Tessellation Based Algorithms for Vector Fields Visualization and Segmentation
A new method for the simplification and the visualization of vector fields is presented based on the notion of Centroidal Voronoi tessellations (CVT's). A CVT is a special Vo...
Qiang Du, Xiaoqiang Wang
NPAR
2009
ACM
14 years 4 months ago
As-rigid-as-possible image registration for hand-drawn cartoon animations
We present a new approach to deformable image registration suitable for articulated images such as hand-drawn cartoon characters and human postures. For such type of data state-of...
Daniel Sýkora, John Dingliana, Steven Colli...
SIGGRAPH
1999
ACM
14 years 2 months ago
Creating Generative Models from Range Images
We describe a new approach for creating concise high-level generative models from range images or other approximate representations of real objects. Using data from a variety of a...
Ravi Ramamoorthi, James Arvo