Zero-disparity adjustment of multiview stereoscopic images based on SIFT matching

Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering

Volumn 44, Issue 2, 2015, Pages 764-768

  Li, Shiqiu ^a   Lei, Jianjun ^a   Zhou, Zhiyuan ^b   Zhang, Hailong ^c   Fan, Xiaohong ^a  

^a TIANJIN UNIVERSITY   (China)

^b Tianjin Jinhang Institute of Technical Physics   (China)

^c CHINA ELECTRIC POWER RESEARCH INSTITUTE   (China)

Author keywords

Autostereoscopic display; Multiview stereoscopic images; SIFT matching; Zero disparity adjustment

Indexed keywords

DISPLAY DEVICES;

AUTO-STEREOSCOPIC DISPLAY; AUTOSTEREOSCOPIC DISPLAY SYSTEM; DISPARITY ADJUSTMENTS; MATCHING POINTS; PIXEL MATCHING; SALIENCY MODELING; SIFT MATCHING; STEREOSCOPIC IMAGE;

STEREO IMAGE PROCESSING;

EID: 84928593805     PISSN: 10072276     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. Bose E, Pepion R, Le Callet P, et al. Towards a new quality metric for 3-D synthesized view assessment [J]. IEEE Journal of Selected Topics in Signal Processing, 2011, 5 (7): 1332-1343.
2. Hu S, Kwong S, Zhang Y, et al. Rate-distortion optimized rate control for depth map-based 3-D video coding [J]. IEEE Transactions on Image Processing, 2013, 22 (2): 585-594.
3. Grau O, Borel T, Kauff P, et al. 3D-TV R&D activities in europe [J]. IEEE Transactions on Broadcasting, 2011, 57 (2): 408-420.
4. Holliman N S, Dodgson N A, Favalora G E, et al. Three-dimensional displays: a review and applications analysis [J]. IEEE Transactions on Broadcasting, 2011, 57 (2): 362-371.
5. Dodgson N A. Autostereoscopic 3D displays [J]. Computer, 2005, 38(8): 31-36.
6. Cellatoglu A, Balasubramanian K. Autostereoscopic imaging techniques for 3D TV: proposals for improvements [J]. Journal of Display Technology, 2013, 9(8): 666-672.
7. Woods A, Docherty T, Koch R. Image distortions in stereoscopic video systems [C]//SPIE, Stereoscopic Displays and Applications, 1993: 36-48.
8. Chamaret C, Godeffroy S, Lopez P, et al. Adaptive 3D rendering based on region-of-interest [C]//SPIE, Stereoscopic Displays and Applications XXI, 2010, 7524: 1-12.
9. Kwon K, Lim Y, Kim N. Vergence control of binocular stereoscopic camera using disparity information [J]. Journal of the Optical Society of Korea, 2009, 13(3): 379-385.
10. Lei J, Zhang H, Hou C, et al. Segmentation-based adaptive vergence control for parallel multiview stereoscopic images [J]. Optik-International Journal for Light and Electron Optics, 2013, 124(15): 2097-2100.
11. Lowe D G. Object recognition from local scale-invariant features [C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 1999: 1150-1157.
12. Lowe D G. Distinctive image features from scale-invariant keypoints [J]. International Journal of Computer Vision, 2004, 60(2): 91-110.
13. Ji Chao, Liu Huiying, Shao Gang, et al. Research on biologically-inspired computional model for image saliency detection [J]. Infrared and Laser Engineering, 2013, 42(3): 823-828. (in Chinese)
14. Xu Dejiang, Shi Zelin, Luo Haibo. Image structural difference clutter metric based on human visual properties[J]. Infrared and Laser Engineering, 2013, 42(6): 1635-1641. (in Chinese)
15. Achanta R, Hemami S, Estrada F, et al. Frequency-tuned salient region detection[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009: 1597-1604.
16. Um G M, Bang G, Hur N, et al. Contribution for 3D video test material of outdoor scene [S]. ISO/IEC JTC1/SC29/ WG11, M15371, 2008.
17. Hirschmuller H, Scharstein D. Evaluation of cost functions for stereo matching [C]//Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2007: 1-8.