Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/88102
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Title: Better together : shading cues and multi-view stereo for reconstruction depth optimization
Authors: Liang, Z
Xu, C 
Hu, J
Li, YS 
Meng, ZP
Issue Date: 2020
Source: IEEE access, 2020, v. 8, p. 112348-112356
Abstract: Passive reconstruction methods such as traditional multi-view stereo are capable to accurate reconstruction results. However, the depth calculation of multi-view stereo encounters significant difficulties, especially when the corresponding points have some degree of inaccuracy or unreliability. In this paper, we make use of geometric and shading cues information in the multi-view stereo approach to construct a robust energy function, which is also effective to optimize the depth information provided by multi-view stereo. This work improves the accuracy of point cloud depth. we evaluated our algorithm in the famous DTU datasets, and established our own dinosaur datasets. All the data is collected by mobile devices under natural light condition, while the reconstruction results are completed and accurate.
Keywords: Image reconstruction
Three-dimensional displays
Cameras
Lighting
Harmonic analysis
Optimization
Surface reconstruction
Depth optimize
MVS
Shading cues
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE access 
EISSN: 2169-3536
DOI: 10.1109/ACCESS.2020.3003023
Rights: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
The following publication Liang, Z., Xu, C., Hu, J., Li, Y. S., & Meng, Z. P. (2020). Better together: Shading cues and multi-view stereo for reconstruction depth optimization. IEEE access, 8, 112348-112356 is available at https://dx.doi.org/10.1109/ACCESS.2020.3003023
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