• Chinese Journal of Lasers
  • Vol. 47, Issue 3, 304004 (2020)
Gu Jiawei, Xie Xiaopeng*, Cao Yibo, and Liu Haoxin
Author Affiliations
  • School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, Guangdong 510640, China
  • show less
    DOI: 10.3788/CJL202047.0304004 Cite this Article Set citation alerts
    Gu Jiawei, Xie Xiaopeng, Cao Yibo, Liu Haoxin. A Semi-Dense Depth Map Acquisition Algorithm Based on Laser Speckle[J]. Chinese Journal of Lasers, 2020, 47(3): 304004 Copy Citation Text show less
    Speckle correlation. (a) Speckle image; (b) correlation between single speckle and total speckles
    Fig. 1. Speckle correlation. (a) Speckle image; (b) correlation between single speckle and total speckles
    Schematics of speckle ranging principle. (a) When there is no occlusion in space; (b) occlusion object appears in space
    Fig. 2. Schematics of speckle ranging principle. (a) When there is no occlusion in space; (b) occlusion object appears in space
    Schematic of speckle ranging principle when the measured object (G) is outside the standard reference plane
    Fig. 3. Schematic of speckle ranging principle when the measured object (G) is outside the standard reference plane
    Depth measurement algorithm overall flow
    Fig. 4. Depth measurement algorithm overall flow
    Images obtained with different binarization methods. (a) Absolute threshold binarization; (b) local adaptive binarization
    Fig. 5. Images obtained with different binarization methods. (a) Absolute threshold binarization; (b) local adaptive binarization
    Speckle center pixel before and after extraction. (a) Before extraction; (b) after extraction
    Fig. 6. Speckle center pixel before and after extraction. (a) Before extraction; (b) after extraction
    Schematics of window descriptor matching of the same speckle at different measurement distances
    Fig. 7. Schematics of window descriptor matching of the same speckle at different measurement distances
    Convolution process of speckle window descriptor and matching result. (a) Convolution process; (b) matching result
    Fig. 8. Convolution process of speckle window descriptor and matching result. (a) Convolution process; (b) matching result
    Schematic of speckle ranging module
    Fig. 9. Schematic of speckle ranging module
    Comparison of speckle images processed by absolute threshold binarization and adaptive threshold binarization. (a) Speckle image 1; (b) spekle image 2; (c) spekle image 3; (d) spekle image 4
    Fig. 10. Comparison of speckle images processed by absolute threshold binarization and adaptive threshold binarization. (a) Speckle image 1; (b) spekle image 2; (c) spekle image 3; (d) spekle image 4
    Number of speckle obtained by absolute threshold binarization and adaptive threshold binarization
    Fig. 11. Number of speckle obtained by absolute threshold binarization and adaptive threshold binarization
    Effects of window size of descriptor on matching result. (a) Relationship between window size and number of speckle; (b) relationship between window size and error rate
    Fig. 12. Effects of window size of descriptor on matching result. (a) Relationship between window size and number of speckle; (b) relationship between window size and error rate
    Depth map of a plane
    Fig. 13. Depth map of a plane
    Accuracy of proposed algorithm and other algorithms
    Fig. 14. Accuracy of proposed algorithm and other algorithms
    Gu Jiawei, Xie Xiaopeng, Cao Yibo, Liu Haoxin. A Semi-Dense Depth Map Acquisition Algorithm Based on Laser Speckle[J]. Chinese Journal of Lasers, 2020, 47(3): 304004
    Download Citation