Two-view line matching algorithm based on context and appearance in low-textured images
作者：
Highlights：
• A novel approach for line detection and matching is proposed..
• Lines are detected through a fusion process over the Gaussian scale-space.
• Lines are matched based on their appearance, geometric properties and neighborhoods.
• Our proposal minimizes the number of fragmented and overlapped segments.
• Our proposal is suitable for low-textured scenes, under uncontrolled illumination.
摘要
Highlights•A novel approach for line detection and matching is proposed..•Lines are detected through a fusion process over the Gaussian scale-space.•Lines are matched based on their appearance, geometric properties and neighborhoods.•Our proposal minimizes the number of fragmented and overlapped segments.•Our proposal is suitable for low-textured scenes, under uncontrolled illumination.
论文关键词：Line detection and matching,Man-made environments,Differencial phase congruency,Adaptive incremental,Context-based matching
论文评审过程：Received 25 February 2014, Revised 19 September 2014, Accepted 27 November 2014, Available online 8 December 2014.
论文官网地址：https://doi.org/10.1016/j.patcog.2014.11.018
