Corner detection based on shearlet transform and multi-directional structure tensor
作者：
Highlights：
• It took full advantages of shearlet to obtain structural information.
• Improved shearlets to overcome the weakness of the current shearlets for corner detection.
• A novel multi-directional structure tensor for making full use of structural information.
• A new multi-scale corner measurement function for exactly refining candidate corners.
• It yields some improvements on the current state-of-the-art in corner detection.
摘要
•It took full advantages of shearlet to obtain structural information.•Improved shearlets to overcome the weakness of the current shearlets for corner detection.•A novel multi-directional structure tensor for making full use of structural information.•A new multi-scale corner measurement function for exactly refining candidate corners.•It yields some improvements on the current state-of-the-art in corner detection.
论文关键词：Shearlet transform,Multi-directional structure tensor,Corner detection
论文评审过程：Received 28 August 2019, Revised 14 February 2020, Accepted 23 February 2020, Available online 24 February 2020, Version of Record 6 March 2020.
论文官网地址：https://doi.org/10.1016/j.patcog.2020.107299
