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» Synergism in Low Level Vision
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ECCV
2006
Springer
15 years 11 months ago
Robust Player Gesture Spotting and Recognition in Low-Resolution Sports Video
The determination of the player's gestures and actions in sports video is a key task in automating the analysis of the video material at a high level. In many sports views, th...
Myung-Cheol Roh, William J. Christmas, Josef Kittl...
BMVC
2002
15 years 4 days ago
Low Density Feature Point Matching for Articulated Pose Identification
We describe a general algorithm for identifying an arbitrary pose of an articulated subject with low density feature points. The algorithm aims to establish a one-to-one correspon...
Horst Holstein, Baihua Li
CVPR
2011
IEEE
14 years 5 months ago
High Level Describable Attributes for Predicting Aesthetics and Interestingness
With the rise in popularity of digital cameras, the amount of visual data available on the web is growing exponentially. Some of these pictures are extremely beautiful and aesthet...
Sagnik Dhar, Vicente Ordonez, Tamara Berg
CVPR
2005
IEEE
15 years 11 months ago
Shock Filters Based on Implicit Cluster Separation
One of the classic problems in low level vision is image restoration. An important contribution toward this effort has been the development of shock filters by Osher and Rudin [1]...
Vinay P. Namboodiri, Subhasis Chaudhuri
ICVGIP
2004
14 years 11 months ago
Use of Linear Diffusion in Depth Estimation Based on Defocus Cue
Diffusion has been used extensively in computer vision. Most common applications of diffusion have been in low level vision problems like segmentation and edge detection. In this ...
Vinay P. Namboodiri, Subhasis Chaudhuri