Simultaneous vanishing point detection and camera calibration from single images

Authors:
Bo Li;Kun Peng;Xianghua Ying;Hongbin Zha
Affiliations:
The Key Lab of Machine Perception, Ministry of Education, Peking University, Beijing, P.R. China;The Key Lab of Machine Perception, Ministry of Education, Peking University, Beijing, P.R. China;The Key Lab of Machine Perception, Ministry of Education, Peking University, Beijing, P.R. China;The Key Lab of Machine Perception, Ministry of Education, Peking University, Beijing, P.R. China
Venue:
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Year:
2010

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Abstract

For images taken in man-made scenes, vanishing points and focal length of camera play important roles in scene understanding. In this paper, we present a novel method to quickly, accurately and simultaneously estimate three orthogonal vanishing points (TOVPs) and focal length from single images. Our method is based on the following important observations: If we establish a polar coordinate system on the image plane whose origin is at the image center, angle coordinates of vanishing points can be robustly estimated by seeking peaks in a histogram. From the detected angle coordinates, altitudes of a triangle formed by TOVPs are determined. Novel constraints on both vanishing points and focal length could be obtained from the three altitudes. By using the constraints, radial coordinates of TOVPs and focal length can be estimated simultaneously. Our method decomposes a 2D Hough parameter space into two cascaded 1D Hough parameter spaces, which makes our method much faster and more robust than previous methods without losing accuracy. Enormous experiments on real images have been done to test feasibility and correctness of our method.