Laser & Optoelectronics Progress, Volume. 55, Issue 11, 110004(2018)
Research Progress of Texture Reconstruction in Color Three-Dimensional Scanning
Fig. 2. Causes of the artifacts in texture image. (a) Camera parameter errors; (b) low model accuracy; (c) inconsistent illumination environment; (d) texture aliasing
Fig. 3. Greedy algorithm diagram. (a) Triangulation texture distribution map obtained by texture quality optimal criterion; (b) triangulation texture distribution map redistributed by greedy algorithm
Fig. 4. Composite-weight schematic. From left to right: angle weight, depth weight, border weight, and composite-weight
Fig. 5. BDS function diagram. Left: source image; right: target image. s1,t1 and s2,t2 are two pairs of patches between source and target images which have minimum Euclidean distance, respectively
Fig. 6. Comparison of reconstruction results of different texture reconstruction methods
Fig. 7. Influence of illumination disagreement on the method in Ref.[73]. Each row gives the source texture image and the target texture image in the experiment, and the illumination disagreement increases gradually from top to bottom
Fig. 9. Seam levelling on a circumference. Function values are shown as the height above the circumference. (a) Original function; (b) levelling function; (c) sum of original function and levelling function (minus a constant)
|
Get Citation
Copy Citation Text
Jiachen Wu, Liangcai Cao, Hailong Chen, Xiang Peng, Guofan Jin. Research Progress of Texture Reconstruction in Color Three-Dimensional Scanning[J]. Laser & Optoelectronics Progress, 2018, 55(11): 110004
Category: Reviews
Received: Apr. 24, 2018
Accepted: Jun. 4, 2018
Published Online: Aug. 14, 2019
The Author Email: Liangcai Cao (clc@mail.tsinghua.edu.cn)