Quasi-perspective Projection Model: Theory and Application to Structure and Motion Factorization from Uncalibrated Image Sequences
文献类型：期刊论文
| 作者 | Wang, Guanghui1,2; Wu, Q. M. Jonathan1 |
| 刊名 | INTERNATIONAL JOURNAL OF COMPUTER VISION
 |
| 出版日期 | 2010-05-01 |
| 卷号 | 87期号:3页码:213-234 |
| 关键词 | Structure from motion Computational models of vision Quasi-perspective projection Imaging geometry Matrix factorization Singular value decomposition Euclidean reconstruction |
| 英文摘要 | This paper addresses the problem of factorization-based 3D reconstruction from uncalibrated image sequences. Previous studies on structure and motion factorization are either based on simplified affine assumption or general perspective projection. The affine approximation is widely adopted due to its simplicity, whereas the extension to perspective model suffers from recovering projective depths. To fill the gap between simplicity of affine and accuracy of perspective model, we propose a quasi-perspective projection model for structure and motion recovery of rigid and nonrigid objects based on factorization framework. The novelty and contribution of this paper are as follows. Firstly, under the assumption that the camera is far away from the object with small lateral rotations, we prove that the imaging process can be modeled by quasi-perspective projection, which is more accurate than affine model from both geometrical error analysis and experimental studies. Secondly, we apply the model to establish a framework of rigid and nonrigid factorization under quasi-perspective assumption. Finally, we propose an Extended Cholesky Decomposition to recover the rotation part of the Euclidean upgrading matrix. We also prove that the last column of the upgrading matrix corresponds to a global scale and translation of the camera thus may be set freely. The proposed method is validated and evaluated extensively on synthetic and real image sequences and improved results over existing schemes are observed. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | STRUCTURE-FROM-MOTION ; SELF-CALIBRATION ; NONRIGID SHAPE ; FUNDAMENTAL MATRIX ; MOVING CAMERA ; RECOVERY ; OBJECTS ; VIEWS ; RECONSTRUCTION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000274205700002 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/2964]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_机器人视觉团队 |
| 作者单位 | 1.Univ Windsor, Dept Elect & Comp Engn, Windsor, ON N9B 3P4, Canada 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Guanghui,Wu, Q. M. Jonathan. Quasi-perspective Projection Model: Theory and Application to Structure and Motion Factorization from Uncalibrated Image Sequences[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION,2010,87(3):213-234. |
| APA | Wang, Guanghui,&Wu, Q. M. Jonathan.(2010).Quasi-perspective Projection Model: Theory and Application to Structure and Motion Factorization from Uncalibrated Image Sequences.INTERNATIONAL JOURNAL OF COMPUTER VISION,87(3),213-234. |
| MLA | Wang, Guanghui,et al."Quasi-perspective Projection Model: Theory and Application to Structure and Motion Factorization from Uncalibrated Image Sequences".INTERNATIONAL JOURNAL OF COMPUTER VISION 87.3(2010):213-234. |
入库方式： OAI收割
来源：自动化研究所
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