HOG active appearance models
Antonakos, Epameinondas and Alabort-i-Medina, Joan and Tzimiropoulos, Georgios and Zafeiriou, Stefanos (2014) HOG active appearance models. In: 2014 IEEE International Conference on Image Processing (ICIP), 27-30 Oct 2014, Paris, France.
Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7025044&punumber%3D6992914%26filter%3DAND%28p_IS_Number%3A7024995%29%26pageNumber%3D2
We propose the combination of dense Histogram of Oriented Gradients (HOG) features with Active Appearance Models (AAMs). We employ the efficient Inverse Compositional optimization technique and show results for the task of face fitting. By taking advantage of the descriptive characteristics of HOG features, we build robust and accurate AAMs that generalize well to unseen faces with illumination, identity, pose and occlusion variations. Our experiments on challenging in-the-wild databases show that HOG AAMs significantly outperform current state-of-the-art results of discriminative methods trained on larger databases.
Actions (Archive Staff Only)