Title :
Metric planar rectification from perspective view via circles
Author :
Chen, Yisong ; Lu, Peng ; Li, Wenhang ; Wang, Shaorong
Author_Institution :
Key Lab. of Machine Perception (Minist. of Educ.), Peking Univ., Beijing
fDate :
March 30 2009-April 2 2009
Abstract :
In this paper, we show that the images of the circular points can be identified by solving the intersection of two imaged coplanar circles under projective transformation and thus metric planar rectification can be achieved. The advantage of this approach is that it eliminates the troublesome camera calibration or vanishing line identification step that underlies many previous approaches and makes the computation more direct and efficient. Vanishing line identification becomes a by-product of our method. Different root configurations are inspected to estimate the image of the circular points reliably so that 2D Euclidean measurement can be directly made in the perspective view. The experimental results validate the effectiveness and accuracy of the method.
Keywords :
computer vision; image sensors; 2D Euclidean measurement; camera calibration; circular point images; coplanar circle images; metric planar rectification; perspective view; projective transformation; root configurations; vanishing line identification step; Application software; Calibration; Cameras; Computer vision; Electronic mail; Euclidean distance; Image analysis; Laboratories; Research and development; Thyristors;
Conference_Titel :
Computational Intelligence for Image Processing, 2009. CIIP '09. IEEE Symposium on
Conference_Location :
Nashville, TN
Print_ISBN :
978-1-4244-2760-4
DOI :
10.1109/CIIP.2009.4937883