Contour model based homography estimation of texture-less planar objects in uncalibrated images

作者：

Highlights：

• We proposed an effective homography recognition based on quadrangle-like structures.

• We derived a new distance function between lines in the probabilistic criterion.

• We presented a robust homography optimization without image contour extraction.

• We solved the nonlinear homography refinement by the maximum likelihood approach.

摘要

•We proposed an effective homography recognition based on quadrangle-like structures.•We derived a new distance function between lines in the probabilistic criterion.•We presented a robust homography optimization without image contour extraction.•We solved the nonlinear homography refinement by the maximum likelihood approach.

论文关键词：Machine vision,Homography recognition,Homography estimation

论文评审过程：Received 27 April 2015, Revised 12 September 2015, Accepted 31 October 2015, Available online 12 November 2015, Version of Record 24 December 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.10.023