Share Email Print
cover

Proceedings Paper

The automatic mosaic of facade texture from vehicle-based image sequence
Author(s): Zhizhong Kang; Zuxun Zhang; Jianqing Zhang; Fanlin Yang; Ying Guo
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, an algorithm of automatic mosaic of facade texture from vehicle-based close-ranged image sequence is presented. Close-ranged DC images have nonlinear distortion due to the large obliquity of the posture of DC and obvious lens distortion, so it needs to be implemented that the preprocessing of automatic rectification of images, Occlusion removal and elimination of lens distortion. As close-ranged imagery as concerned, the facade is too large to be covered by a single image. Therefore, image mosaic is indispensable to acquire whole facade texture. Two mosaic methods are presented in this paper. 1) Selecting mosaic point pair. After the preprocessing, only the displacements in X-axis and Y-axis respectively are needed to determine in mosaic process because facade textures are all rectified onto plumb plane. Therefore the strategy combined with correlation coefficient and geometric constraint is employed to acquire mosaic point pair by which the displacements are determined. This method cannot be applicable when the imagery is taken too close to the facade (< 50m), because the geometric distortion cannot be eliminated perfectly after the rectification process. 2) Strip method. It is deduced to determine the relatively spatial relationship of the images facade texture involved that a model of least square adjustment, similar to the strip block adjustment, based on the formula of the projection of image point on the projective plane with the DC angular parameters determined early as weighted observation. Then a method similar to generating ortho-image is employed to generate the whole facade texture. This method is proved to be more applicable.

Paper Details

Date Published: 3 November 2005
PDF: 14 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 604322 (3 November 2005); doi: 10.1117/12.654968
Show Author Affiliations
Zhizhong Kang, Shandong Univ. of Science and Technology (China)
Zuxun Zhang, Wuhan Univ. (China)
Jianqing Zhang, Wuhan Univ. (China)
Fanlin Yang, Shandong Univ. of Science and Technology (China)
Ying Guo, Shandong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

© SPIE. Terms of Use
Back to Top