Reconstruction of linearly parameterized models from a single image using the vanishing points
- Authors
- Yoon, Y.I.; Im, J.W.; Kim, D.H.; Choi, J.S.; Oh, J.S.
- Issue Date
- 2003
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- IMAGE ANALYSIS, PROCEEDINGS, v.2749, pp 693 - 700
- Pages
- 8
- Journal Title
- IMAGE ANALYSIS, PROCEEDINGS
- Volume
- 2749
- Start Page
- 693
- End Page
- 700
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65875
- DOI
- 10.1007/3-540-45103-x_92
- ISSN
- 0302-9743
1611-3349
- Abstract
- We present a method using only three vanishing points to recover the dimensions of object and its pose from single image of perspective projection with a camera of unknown focal length. Our approach is to compute the dimensions of objects represented by the unit vector of objects from the image. The dimension vector v of objects can be solved by the standard nonlinear optimization techniques with a multistart method which generates multiple starting points for the optimizer by sampling the parameter space uniformly. This method allows model-based vision to be computed the dimensions of object for a 3D model from matches to a single 2D image. Experimental results demonstrate the dimension vector v of the proposed method from a single image using three vanishing points and show a performance of the proposed method compared to the conventional. Then, the actual dimensions of object from the image agree well with the calculated results.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65875)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.