Title :
A 5-Parameter Bundle Adjustment Method for Image Mosaic
Author :
Fang, Xianyong ; Luo, Bin ; Zhao, Haifeng ; Zhang, Yiwen
Author_Institution :
Key Lab. of Intell. Comput. & Signal Process. of MOE, Anhui Univ., Hefei, China
Abstract :
A 5-parameter bundle adjustment method is proposed in this paper for global mosaic of an image sequence. By decomposing the rotation matrix into a 3-parameter rotation axis and a rotation angle, to each image, there are 5 parameters that need estimate for rotation axis, rotation angle and focal length. The proposed method minimizes the distance between feature matches in 3D space so that these 5 parameters are refined gradually for final stitching of all images together. Experimental results suggest that this method is an useful extension to existing research with the advantages of real 3D camera motion, accurate 5-parameter rotation decomposition and reliable 3D feature definition.
Keywords :
image matching; image segmentation; image sequences; matrix decomposition; 3-parameter rotation axis; 3D camera motion; 5-parameter bundle adjustment method; feature matching; focal length; global mosaic; image mosaic; image sequence; rotation angle; rotation matrix decomposition; Cameras; Image sequences; Matrix decomposition; Parameter estimation; axis-angle representation; bundle adjustment; global registration; image mosaic;
Conference_Titel :
Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3641-5
DOI :
10.1109/ICIS.2009.27
