Laser & Optoelectronics Progress, Volume. 59, Issue 2, 0211002(2022)
Disparity Reconstruction Algorithm Based on YCbCr Light Field Data
Fig. 1. Monomer data. (a) Selection of seed points; (b) selection of background points; (c) results of monomer data
Fig. 2. Results of disparity reconstruction in different channels of Papillon and Mona scenes. (a) RGB[31]; (b) Y channel; (c) R channel; (d) G channel; (e) B channel
Fig. 8. Disparity estimation result of real data. (a) Center view image; (b) monomer map; (c) disparity map
Fig. 9. Analysis of Platonic scene. (a) Real disparity map; (b) initial disparity map; (c) optimized disparity map
Fig. 10. Disparity curves in the horizontal direction. (a) 100th line; (b) 230th line; (c) 430th line
Fig. 11. Evaluation of occlusion of real data. (a) Center view image; (b) disparity map; (c) fitting diagram of disparity curve to boundary point
Fig. 12. Reconstruction results by different algorithms, data of Figs. 12(b)‒(f) is from Ref.[34]. (a) Proposed algorithm; (b) LF; (c) LF_OCC; (d) MV; (e) mvcmv0; (f) epi1
Fig. 13. Enlarged images of reconstruction results of Backgammon scene obtained by different algorithms. (a) Proposed algorithm; (b) LF; (c) LF_OCC; (d) MV; (e) mvcmv0; (f) epi1
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Ligen Shi, Jun Qiu, Chang Liu, Xiaojuan Deng. Disparity Reconstruction Algorithm Based on YCbCr Light Field Data[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0211002
Category: Imaging Systems
Received: Mar. 8, 2021
Accepted: Mar. 17, 2021
Published Online: Dec. 23, 2021
The Author Email: Chang Liu (liuchang@bistu.edu.cn)