Acta Optica Sinica, Volume. 43, Issue 23, 2312004(2023)
3D Face Measurement Based on Cyclic Reverse Coding
Fig. 5. Edge point detection method of CRC. (a) In ideal state; (b) in jittering state
Fig. 8. Results of facial landmark detection. (a) Original image; (b) detection result
Fig. 9. Results of artificial step. (a) Image of artificial step; (b) partial edge point detected
Fig. 10. Results of gypsum image measurement.(a) Original gypsum image; (b) SED; (c) CRC
Fig. 11. Measurement results of face model. (a) Image of face; (b) depth information by SED, CRC and CRC with feature points
Fig. 12. Motion information with face landmarks. (a) Offset in the x-direction; (b) offset in the y-direction
Fig. 13. 3D point cloud of face model. (a)-(c) SED; (d)-(f) CRC; (g)-(i) CRC combined with face landmark
Fig. 14. 3D point cloud of human face. (a)-(c) SED; (d)-(f) CRC; (g)-(i) CRC with face landmark
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Shaoyan Gai, Rui Feng, Feipeng Da. 3D Face Measurement Based on Cyclic Reverse Coding[J]. Acta Optica Sinica, 2023, 43(23): 2312004
Category: Instrumentation, Measurement and Metrology
Received: Jun. 13, 2023
Accepted: Sep. 4, 2023
Published Online: Dec. 8, 2023
The Author Email: Gai Shaoyan (qxxymm@163.com), Da Feipeng (dafp@seu.edu.cn)