Dense Optical Flow Estimation Using Sparse Regularizers From Reduced Measurements

Dense Optical Flow Estimation Using Sparse Regularizers From Reduced Measurements

<p dir="ltr">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, efficien...

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Bibliographic Details
Main Author: Muhammad Wasim Nawaz (19325677) (author)
Other Authors: Abdesselam Bouzerdoum (17900021) (author), Muhammad Mahboob Ur Rahman (19325680) (author), Ghulam Abbas (764241) (author), Faizan Rashid (17541690) (author)
Published: 2024
Subjects:
Information and computing sciences
Computer vision and multimedia computation
Energy minimization
motion discontinuities
optical flow
sparse regularizers
total variation
Optical flow
TV
Estimation
Anisotropic
Computer vision
Minimization
Image motion analysis
Energy management
Motion control
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