Facial optical flow estimation via neural non-rigid registration
Abstract Optical flow estimation in human facial video, which provides 2D correspondences between adjacent frames, is a fundamental pre-processing step for many applications, like facial expression capture and recognition. However, it is quite challenging as human facial images contain large areas o...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2022-10-01
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Series: | Computational Visual Media |
Subjects: | |
Online Access: | https://doi.org/10.1007/s41095-021-0267-z |