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A new MRF model for robust estimate of occlusion and motion vector fields

A new MRF model for robust estimate of occlusion and motion vector fields

Proceedings of International Conference on Image Processing, 1997
Keng Lim
Man Yuk Chong
Abstract
This paper proposes a new Markov random field (MRF) model for the detection of occluded regions in image sequences. Motion vectors are not defined in an occluded region, thus the regions with high motion compensated prediction error are commonly regarded as occluded regions. However, badly motion compensated pixels will also appear as occluded pixels, making it difficult to distinguish the

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