Title :
Intersection distance for object recognition
Author :
Yan Zhou ; Jianning Liang
Author_Institution :
Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
Object recognition is a very important task in the field of computer vision. We present a new method for object recognition. The image content is described by the image gradient. Then, the intersection distance is proposed to measure the similarities of the images of different objects. Our method demonstrates good performances on three face data sets.
Keywords :
computer vision; image matching; object recognition; computer vision; face data sets; image content; image gradient; intersection distance; object image similarity measurement; object recognition; Accuracy; Computer vision; Conferences; Indexes; Object recognition; Testing; Training; Image gradient; Intersection distance; Object recognition;
Conference_Titel :
Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
DOI :
10.1109/WARTIA.2014.6976245
