Abstract
This paper develops a multi-view stereo approach to reconstruct the shape of a three-dimensional object from a set of Internet photos. The stereo matching technique adopts region growing approach, starting from a set of sparse three-dimensional points reconstructed from structure-from-motion (Sfm), then propagates to the neighbouring areas by the best-first strategy, and produces dense three-dimensional points. We demonstrate our algorithms that they perform robustly.
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References
Furukawa Y, Ponce J (2007) Accurate, dense, and robust multi-view stereopsis. Proc CVPR 20(3):487–493
Zhao J, Wang Q, Wang X (2006) The real-time three-dimensional animation of highway that based on the digital terrain model. Comput Eng 31(12):196–199
Goesele M, Snavely N, Curless B, Hoppe H, Seitz SM (2007) Multi-view stereo for community photo collections. ICCV 92(4):198–207
Liu Y, Li J, Huang J et al (2005) Establish the three-dimensional road model from the plan and transverse section. J Huazhong Univ Sci Technol (Urban Science Edition) 22:156–158
Otto GP, Chau TKW (1989) ‘Region-Growing’ algorithm for matching of terrain images. Image Vision Comput 7(2):83–94
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© 2013 Springer-Verlag London
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Wang, Z. (2013). Research of Multi-View Stereo Reconstruction for Internet Photos. In: Du, W. (eds) Informatics and Management Science VI. Lecture Notes in Electrical Engineering, vol 209. Springer, London. https://doi.org/10.1007/978-1-4471-4805-0_6
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DOI: https://doi.org/10.1007/978-1-4471-4805-0_6
Publisher Name: Springer, London
Print ISBN: 978-1-4471-4804-3
Online ISBN: 978-1-4471-4805-0
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