Color CENTRIST
Wei-Ta Chu, Chih‐Hao Chen · 2012
We design a method to incorporate color information into the framework of CENsus Transform histogram (CENTRIST), a state-of-the-art visual descriptor for scene categorization. The newly proposed color CENTRIST descriptor describes global shape information by not only gradient derived from intensity values but also color variations between pixels in local image patches. Through extensive evaluations on various datasets, we demonstrate that the color CENTRIST descriptor is not only easily to be implemented, but also reliably achieves performance over that of CENTRIST.