A Novel HOG Descriptor with Spatial Multi-Scale Feature for FER

作者：Ying, Tong; Liang Bao, Jiao; Xue Hong, Cao

来源：Applied Mechanics and Materials, 2014, 596: 322-327.

DOI：10.4028/www.scientific.net/amm.596.322

<jats:p>HOG Feature is an efficient edge information descriptor, but it ignores the spatial arrangement of local FER features. In this respect, this paper puts forward a spatial multi-scale model based on an improved HOG algorithm which uses canny operator instead of traditional gradient operator. After the image is divided into a series of sub-regions layer by layer, the histogram of orient gradients for each sub-region is calculated and connected in sequence to obtain the spatial multi-scale HOG feature of whole image. Compared with traditional HOG and the improved PHOG, the proposed SMS_HOG algorithm acquires 5% recognition rate improvement and 50% processing time reduction.</jats:p>

• 出版日期2014-7
• 单位南京工程学院