A unified framework for local visual descriptors evaluation
作者：
Highlights：
• We propose a new framework to design local visual descriptors.
• Descriptors are decomposed in primitive extraction, coding and aggregation.
• Our framework can explain the most popular descriptors such as HOG, HOF, SURF.
• The framework allows us a rigorous exploration of the possible combinations of primitives, coding and aggregation.
• New descriptors are easily obtained by changing one of the steps of our framework.
摘要
Author-Highlights•We propose a new framework to design local visual descriptors.•Descriptors are decomposed in primitive extraction, coding and aggregation.•Our framework can explain the most popular descriptors such as HOG, HOF, SURF.•The framework allows us a rigorous exploration of the possible combinations of primitives, coding and aggregation.•New descriptors are easily obtained by changing one of the steps of our framework.
论文关键词：Image processing and computer vision,Vision and scene understanding,Video analysis,Image/video retrieval,Object recognition,Feature representation
论文评审过程：Received 29 November 2013, Revised 7 August 2014, Accepted 20 November 2014, Available online 27 November 2014.
论文官网地址：https://doi.org/10.1016/j.patcog.2014.11.013
