Acta Optica Sinica, Volume. 38, Issue 6, 0610002(2018)
Hole Filling Algorithm of Three-Dimensional Point Cloud Based on Structure from Motion
Fig. 2. Hole boundary extraction. (a) Initial point cloud; (b) boundary; (c) hole boundary
Fig. 3. Repaired point cloud of ceramic cup. (a) Fringe projection; (b) SFM; (c) repaired point cloud
Fig. 4. Repaired point cloud of human face. (a) Fringe projection; (b) SFM; (c) repaired point cloud
Fig. 5. Positions of man-made holes. (a) Complete point cloud; (b) holes in area of nose and cheek; (c) holes in area between eyebrows
Fig. 6. Repair results corresponding to Fig. 5(b). (a) Complete point cloud; (b) left view of repaired point cloud; (c) top view of repaired point cloud; (d) point cloud after registration
Fig. 7. Repair results corresponding to Fig. 5(c). (a) Complete point cloud; (b) left view of repaired point cloud; (c) top view of repaired point cloud; (d) point cloud after registration
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Lulu Zeng, Shaoyan Gai, Feipeng Da, Yuan Huang. Hole Filling Algorithm of Three-Dimensional Point Cloud Based on Structure from Motion[J]. Acta Optica Sinica, 2018, 38(6): 0610002
Category: Image Processing
Received: Nov. 22, 2017
Accepted: --
Published Online: Jul. 9, 2018
The Author Email: Zeng Lulu (220151437@seu.edu.cn)