DocumentCode :
2750754
Title :
Feature-Based Image Automatic Mosaicing Algorithm
Author :
Hu, Shejiao ; Hu, Yaling ; Chen, Zonghai ; Jiang, Ping
Author_Institution :
Dept. of Autom., Univ. of Sci. & Technol. of China
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
10361
Lastpage :
10364
Abstract :
Image mosaic is common method in image based rendering virtual reality technology, it is widely used in image processing. People can get high resolution panoramic image, and needn´t to worry about the limitation of shooting angle. Because camera motion model and mathematic model of image transform are important, they are firstly reviewed. Feature detector is used to find feature points in images. According to the relationship among feature points, original matches are refined. Random sample consensus is introduced and combined with SVD to get the transform parameters. Image is warped to reference image plane, and weighted average method is used to blend images
Keywords :
feature extraction; image segmentation; rendering (computer graphics); singular value decomposition; feature based image automatic mosaicing; feature detector; homography matrix; image based rendering virtual reality; image processing; image transform; singular value decomposition; Automation; Cameras; Computer vision; Image processing; Image resolution; Intelligent control; Mathematical model; Mathematics; Rendering (computer graphics); Virtual reality; RANSAC; homography matrix; image transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1714032
Filename :
1714032
Link To Document :
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