Acta Optica Sinica, Volume. 40, Issue 21, 2115002(2020)
Depth Camera-Based Location and Restoration of Special Surface
Fig. 2. Depth image preprocessing. (a) Raw depth image; (b) shadow noise area; (c) ROI segmentation; (d) reliability mask
Fig. 4. Weight setting near depth edge. (a) σ0 neighborhood range; (b) ωm function curve
Fig. 5. TSDF variation ηTS. (a) Color image; (b)-(d) ηTS<γl
Fig. 7. Model reparation experiment. (a) Model before reparation; (b) model after reparation; (c) experimental environment and setting; (d) peculiar object; (e) model detail before reparation; (f) model detail after reparation
Fig. 8. Models corresponding to different pose results. (a) Experimental setting; (b) KinectFusion; (c) SDF-tracker; (d) proposed method
Fig. 9. Comparison of reconstruction results 1. (a) Experimental environment and setting; (b)camera pose; (c) result obtained by algorithm Ⅰ; (d) result obtained by proposed method
Fig. 10. Comparison of reconstruction results 2. (a) Experimental environment and setting; (b)camera pose; (c)(d) result obtained by algorithm Ⅰ; (e)(f) result obtained by proposed method
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Dian Fei, Jianlin Chen, Dongsheng Liu, Zhijiang Zhang. Depth Camera-Based Location and Restoration of Special Surface[J]. Acta Optica Sinica, 2020, 40(21): 2115002
Category: Machine Vision
Received: Nov. 25, 2019
Accepted: Jul. 15, 2020
Published Online: Oct. 25, 2020
The Author Email: Zhang Zhijiang (feidian@shu.edu.cn)