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Content Provider | IEEE Xplore Digital Library |
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Author | Jae-Hak Kim Yuchao Dai Hongdong Li Xin Du Jonghyuk Kim |
Copyright Year | 2013 |
Description | Author affiliation: Zhejiang Univ., Hangzhou, China (Xin Du) || Australian Nat. Univ., Canberra, SA, Australia (Jae-Hak Kim; Yuchao Dai; Hongdong Li; Jonghyuk Kim) |
Abstract | We present a new multi-view 3D Euclidean reconstruction method for arbitrary uncalibrated radially-symmetric cameras, which needs no calibration or any camera model parameters other than radial symmetry. It is built on the radial 1D camera model [25], a unified mathematical abstraction to different types of radially-symmetric cameras. We formulate the problem of multi-view reconstruction for radial 1D cameras as a matrix rank minimization problem. Efficient implementation based on alternating direction continuation is proposed to handle scalability issue for real-world applications. Our method applies to a wide range of omni directional cameras including both dioptric and catadioptric (central and non-central) cameras. Additionally, our method deals with complete and incomplete measurements under a unified framework elegantly. Experiments on both synthetic and real images from various types of cameras validate the superior performance of our new method, in terms of numerical accuracy and robustness. |
Sponsorship | IEEE Comput. Soc. |
Starting Page | 1896 |
Ending Page | 1903 |
File Size | 678332 |
Page Count | 8 |
File Format | |
ISBN | 9781479928408 |
ISSN | 15505499 |
DOI | 10.1109/ICCV.2013.238 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-12-01 |
Publisher Place | Australia |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Cameras Three-dimensional displays Image reconstruction Mirrors Distortion measurement Mathematical model Solid modeling Matrix rank minimization 3D reconstruction Radial 1D camera |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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