Cat and Dog Face Detection Using Deformable Part Model
نویسندگان
چکیده
"Deformable Part Model" (DPM) based on "Histograms of Oriented Gradients" (HOG) is known as a robust shape detection algorithm, especially for human body detection. For cat face detection, HOG has been applied since they are quite uniform regardless of the bleed. However, in general, dog faces show larger variation than cat faces. Therefore, we assumed that DPM may work well to the dog face variation. In this paper, DPM is tested to detect dog faces, and its performance is compared with the conventional HOG. Experimental results show that detection accuracy of DPM is about 21-25% better than HOG.
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