Closed-form algorithms for object pose and scale recovery in constrained scenes
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摘要
This paper concerns the recovery of pose and scale of vehicles in traffic scenes which, under normal conditions, are constrained to be in contact with the ground-plane. Several closed-form algorithms are described for pose and scale recovery using known 2D-to-3D line matches. The algorithms directly exploit the ground-plane constraint and are applicable to an arbitrary number of line matches. The algorithms are tested extensively with both synthetic and real outdoor traffic images. They are found to be robust and perform satisfactorily with real images.
论文关键词:Model-based vision,Pose and scale estimation,Ground-plane constraint
论文评审过程:Received 23 August 1994, Revised 8 June 1995, Accepted 11 August 1995, Available online 7 June 2001.
论文官网地址:https://doi.org/10.1016/0031-3203(95)00113-1