Laser & Optoelectronics Progress, Volume. 57, Issue 10, 101016(2020)
Improved Poisson Reconstruction Algorithm Based on Vector Field and Isosurface
Fig. 1. Flow chart of improved Poisson surface reconstruction algorithm
Fig. 2. Flow chart of normal estimation
Fig. 3. Normal vector fitting structure diagram
Fig. 4. Results of ambiguity of MC algorithm. (a) Two forms, (b) four results
Fig. 5. Structure diagram of different algorithms. (a) MC algorithm; (b) improved DC algorithm
Fig. 6. Comparison of filtering effect of the proposed algorithm. (a) Original point cloud dataset; (b) K=30; (c) K=50; (d) K=70
Fig. 7. Visualization of normal estimation. (a) (e)(i) Point cloud after preprocessing; (b)(f)(j) normal estimation of two traditional algorithms; (c)(g)(k) normal estimation of Ref. [18]; (d)(h)(l) normal estimation of improved algorithm
Fig. 8. Comparison of time complexity between four algorithms
Fig. 9. Comparison of surface reconstruction with four algorithms. (a)(e) Reconstruction of traditional Poisson algorithm; (b)(f) reconstruction of algorithm in Ref. [18]; (c)(g) reconstruction of greedy projection triangulation algorithm; (d)(h) reconstruction of improved algorithm in this paper
Fig. 10. Improved algorithm for surface reconstruction of different point cloud data. (a) Table model reconstruction; (b) pig model reconstruction; (c) horse model reconstruction
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Feng Gao, Hong Zhou, Chao Huang. Improved Poisson Reconstruction Algorithm Based on Vector Field and Isosurface[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101016
Category: Image Processing
Received: Aug. 29, 2019
Accepted: Oct. 22, 2019
Published Online: May. 8, 2020
The Author Email: Zhou Hong (1013689903@qq.com)