Single view based measurement on space planes
Journal of Computer Science and Technology
Single view metrology from scene constraints
Image and Vision Computing
Robust height estimation of moving objects from uncalibrated videos
IEEE Transactions on Image Processing
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The absolute conic is the key for recovering the Euclidean structure in 3-D space. The image of the absolute conic can be parametrized by the set of three vanishing points corresponding to orthogonal directions in space with two independent additional factors. Whereas a single plane to image homography only allows the image to inherit two vanishing points and one of these factors, we describe a method which recovers the metric structures of any perpendicular plane to the ground from the ground to image homography matrix. Indeed, under the assumption of a natural camera, we demonstrate that the third vanishing point lies on a line that we call central line. A direct solution is found with an additional constraint relevant to the application we deal with (automatic analysis of soccer video): a 驴pseudo-parallelism驴 between one of the camera axis and the ground plane. Direct applications on video mpeg-encoded images are presented in the experiment section showing a very satisfactory accuracy.