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  NRSfM using Local Rigidity

Rehan, A., Zaheer, A., Akhter, I., Saeed, A., Mahmood, B., Usmani, M., & Khan, S. (2014). NRSfM using Local Rigidity. In Proceedings Winter Conference on Applications of Computer Vision (pp. 69-74). Steamboat Springs, CO, USA: IEEE. doi:10.1109/WACV.2014.6836116.

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資料種別: 会議論文

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 作成者:
Rehan, Ali1, 著者
Zaheer, Aamer, 著者
Akhter, Ijaz2, 著者           
Saeed, Arfah, 著者
Mahmood, Bilal, 著者
Usmani, Muhammad, 著者
Khan, Sohaib, 著者
所属:
1External Organizations, ou_persistent22              
2Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              

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キーワード: Abt. Black
 要旨: Factorization methods for computation of nonrigid structure have limited practicality, and work well only when there is large enough camera motion between frames, with long sequences and limited or no occlusions. We show that typical nonrigid structure can often be approximated well as locally rigid sub-structures in time and space. Specifically, we assume that: 1) the structure can be approximated as rigid in a short local time window and 2) some point pairs stay relatively rigid in space, maintaining a fixed distance between them during the sequence. We first use the triangulation constraints in rigid SFM over a sliding time window to get an initial estimate of the nonrigid 3D structure. We then automatically identify relatively rigid point pairs in this structure, and use their length-constancy simultaneously with triangulation constraints to refine the structure estimate. Unlike factorization methods, the structure is estimated independent of the camera motion computation, adding to the simplicity and stability of the approach. Further, local factorization inherently handles significant natural occlusions gracefully, performing much better than the state-of-the art. We show more stable and accurate results as compared to the state-of-the art on even short sequences starting from 15 frames only, containing camera rotations as small as 2 degree and up to 50 percent missing data.

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 日付: 2014
 出版の状態: オンラインで出版済み
 ページ: -
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 目次: -
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 識別子(DOI, ISBNなど): BibTex参照ID: Rehan_wacv14
DOI: 10.1109/WACV.2014.6836116
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関連イベント

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イベント名: IEEE Winter Conference on Applications of Computer Vision (WACV)
開催地: Steamboat Springs, CO
開始日・終了日: 2014-03-24 - 2014-03-26

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出版物名: Proceedings Winter Conference on Applications of Computer Vision
種別: 会議論文集
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出版社, 出版地: Steamboat Springs, CO, USA : IEEE
ページ: - 巻号: - 通巻号: - 開始・終了ページ: 69 - 74 識別子(ISBN, ISSN, DOIなど): -