Computing Probabilistic Optical Flow Using Markov Random Fields

Dongzhen Piao; Prahlad G. Menon; Ole J. Mengshoel

doi:10.1007/978-3-319-09994-1_22

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Computing Probabilistic Optical Flow Using Markov Random Fields

Dongzhen Piao Prahlad G. Menon Ole J. Mengshoel

Year: 2014 Lecture notes in computer science Pages: 241-247 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-09994-1_22

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Keywords:

Optical flow Computer science Probabilistic logic Artificial intelligence Markov random field Computer vision Image segmentation Markov chain Pixel Speckle pattern Segmentation Flow (mathematics) Image processing Pattern recognition (psychology) Image (mathematics) Mathematics Machine learning

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Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Retinal Imaging and Analysis

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Computing Probabilistic Optical Flow Using Markov Random Fields

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