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» A computational framework for incremental motion
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111
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ECCV
2010
Springer
15 years 2 months ago
Archive Film Restoration Based on Spatiotemporal Random Walks
Abstract. We propose a novel restoration method for defects and missing regions in video sequences, particularly in application to archive film restoration. Our statistical framew...
Xiaosong Wang, Majid Mirmehdi
149
Voted
AIPR
2008
IEEE
15 years 5 months ago
Low-cost, high-speed computer vision using NVIDIA's CUDA architecture
In this paper, we introduce real time image processing techniques using modern programmable Graphic Processing Units (GPU). GPUs are SIMD (Single Instruction, Multiple Data) device...
Seung In Park, Sean P. Ponce, Jing Huang, Yong Cao...
167
Voted
CVPR
2008
IEEE
16 years 5 months ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
299
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Book
5396views
17 years 2 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
CVPR
2008
IEEE
16 years 5 months ago
Globally optimal bilinear programming for computer vision applications
We present a practical algorithm that provably achieves the global optimum for a class of bilinear programs commonly arising in computer vision applications. Our approach relies o...
Manmohan Krishna Chandraker, David J. Kriegman