Laser & Optoelectronics Progress, Volume. 59, Issue 4, 0410016(2022)
Non-Contact Portable Three-Dimensional Palmprint Acquisition System Based on Binocular Stereo Vision and Structured Light
Fig. 3. 3D reconstruction results obtained by using single Gray code. (a) Using 10 Gray-code pictures; (b) using 9 Gray-code pictures; (c) using 8 Gray-code pictures
Fig. 5. Disparity maps of periodic jump correction. (a) Image before correction; (b) corrected image by traditional method; (c) corrected image by maximum probability method
Fig. 7. Point cloud effect comparison. (a) Pixel-level matching; (b) sub-pixel-level matching
Fig. 8. Comparison of palm surface reconstruction effects. (a) Using pixel-level matching; (b) using sub-pixel-level matching
Fig. 12. Images obtained by left and right cameras before correction. (a) Left camera; (b) right camera
Fig. 13. Images obtained by left and right cameras after correction. (a) Left camera; (b) right camera
Fig. 14. Gray code phase shift decoding results of image taken by left camera. (a) Shadow area; (b) relative phase; (c) period; (d) absolute phase
Fig. 17. Point cloud filtering results. (a) Before point cloud filtering; (b) after point cloud filtering
Fig. 19. Images collected by 3D palmprint system based on stereo binocular camera. (a) Left view; (b) right view
Fig. 20. Comparison of experimental disparity maps. (a) Disparity map generated by traditional binocular stereo vision palmprint acquisition system; (b) disparity map generated by palmprint acquisition system proposed in this article
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Yilin Chen, Fayu Wang, Jianyang Liu. Non-Contact Portable Three-Dimensional Palmprint Acquisition System Based on Binocular Stereo Vision and Structured Light[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0410016
Category: Image Processing
Received: Jan. 8, 2021
Accepted: Apr. 7, 2021
Published Online: Jan. 25, 2022
The Author Email: Jianyang Liu (manchest@swjtu.edu.cn)