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"Dense Optical Flow Estimation Using Sparse Regularizers from Reduced M" by Muhammad Wasim Nawaz, Abdesselam Bouzerdoum et al.

Optical flow is the pattern of apparent motion of objects in a scene. The computation of optical flow is a critical component in numerous computer vision tasks such as object detection, visual object tracking, and activity recognition. Despite a lot of research, efficiently managing abrupt changes in motion remains a challenge in motion estimation. This paper proposes novel variational regularization methods to address this problem since they allow combining different mathematical concepts into ...
Energy Minimization Otion Discontinuities Optical Flow Parse Regularizers Total Variation
Source: uow.edu.au

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