Object Recognition Based on Color Invariance and Entropic Graph with Multiple Cameras

Ambient illumination variation across cameras is a challenge for object recognition．In this work, asome color invariance is derived from color model as the object recognition feature, aand the HP affinity estimated by entropic graphs is used as the object similarity measure．Experimental results show that our proposed object recognition approach is robust to the illumination variation, aand of high recognition accuracy．