3D shape recovery and tracking from multi-camera video sequences via surface deformation Çok kamerali video görüntülerinden yüzey deformasyonu ile 3B şekil geric̈atma ve i̇zleme

Date

2006-12-01

Author

Sahillioğlu, Yusuf
Yemez, Y.
Skala, V.

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This paper addresses 3D reconstruction and modeling of time-varying real objects using multicamera video. The work consists of two phases. In the first phase, the initial shape of the object is recovered from its silhouettes using a surface deformation model. The same deformation model is also employed in the second phase to track the recovered initial shape through the time-varying silhouette information by surface evolution. The surface deformation/evolution model allows us to construct a spatially and temporally smooth surface mesh representation having fixed connectivity. This eventually leads to an overall space-time representation that preserves the semantics of the underlying motion and that is much more efficient to process, to visualize, to store and to transmit.

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=34247128637&origin=inward
https://hdl.handle.net/11511/96933

DOI

https://doi.org/10.1109/siu.2006.1659902

Conference Name

2006 IEEE 14th Signal Processing and Communications Applications

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Department of Computer Engineering, Conference / Seminar

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Citation Formats

Y. Sahillioğlu, Y. Yemez, and V. Skala, “3D shape recovery and tracking from multi-camera video sequences via surface deformation Çok kamerali video görüntülerinden yüzey deformasyonu ile 3B şekil geric̈atma ve i̇zleme,” Antalya, Türkiye, 2006, vol. 2006, Accessed: 00, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=34247128637&origin=inward.