A biologically inspired spatio-chromatic feature for color object recognition

作者：Tian, Tian; Zhang, Yun; Choo, Kim-Kwang Raymond; Song, Weijing^*

来源：Multimedia Tools and Applications, 2017, 76(18): 18731-18747.

DOI：10.1007/s11042-016-4252-y

• Local image feature
• Color
• Scale invariant feature transform (SIFT)
• Object recognition

Color information has been acknowledged for its important role in object recognition and scene classification. How to describe the color characteristics and extract combined spatial and chromatic feature is a challenging task in computer vision. In this paper we extend the robust SIFT feature on processed opponent color channels to obtain a spatio-chromatic descriptor for color object recognition. The color information processing is implemented under a biologically inspired hierarchical framework, where cone cells, single-opponent and double-opponent cells are simulated respectively to mimic the color perception of primate visual system. The biologically inspired method is tested for object recognition task on two public datasets, and the results support the potential of our proposed approach.

• 出版日期2017-9
• 单位北京机电研究所; 中国地质大学（北京）; 北京市电加工研究所