GPS Refinement and Camera Orientation Estimation from a Single Image and a 2D Map
作者： Hang Chu , Andrew Gallagher , Tsuhan Chen
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摘要: A framework is presented for refining GPS location and estimate the camera orientation using a single urban building image, 2D city map with outlines, given noisy location. We propose to use tilt-invariant vertical corner edges extracted from image. location-orientation hypothesis, which we call an LOH, proposed image of corners would occur at observed positions in photo. The refined estimated computed LOHs. Experiments show improves accuracy significantly, generally produces reliable estimation, computationally efficient.
ieeecomputersociety.org参考文章(18)
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