DocumentCode
3420811
Title
Viewing transform of image based on vanishing point
Author
Liu, Zhongping ; Chen, Tiejun
Author_Institution
Vocational Technol. Coll., Yulin Normal Univ., Yulin, China
fYear
2010
fDate
22-24 Oct. 2010
Firstpage
180
Lastpage
184
Abstract
Projective geometry is an effective tool for shape transform of images in computer vision. It contains too many degrees of freedom, and the feature points must be chosen semi-automatically. In order to solve these problems, an improved algorithm of viewing transform with fixed viewpoint based on vanishing point is proposed. First, the relationship model of viewing angle and vanishing point is created. Then, the new method chooses the feature points automatically by detecting vanishing points. Finally, a shape transform based on panning and tilting is made. The test results of two types of images and comparison with other methods demonstrate the applicability and effectiveness of this algorithm.
Keywords
Hough transforms; computational geometry; computer vision; feature extraction; shape recognition; visual perception; computer vision; feature point; projective geometry; shape transform; vanishing point detection; viewing angle; viewing transform; Computational modeling; Image restoration; Manganese; Three dimensional displays; Hough transform; computer vision; shape analysis; vanishing point; viewing transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
Conference_Location
Guilin
Print_ISBN
978-1-4244-6834-8
Type
conf
DOI
10.1109/ICISS.2010.5656817
Filename
5656817
Link To Document