TY - GEN
T1 - Improving head pose estimation with a combined loss and bounding box margin adjustment
AU - Shao, Mingzhen
AU - Sun, Zhun
AU - Ozay, Mete
AU - Okatani, Takayuki
N1 - Funding Information:
This work was partly supported by JSPS KAKENHI Grant Number JP15H05919 and JST CREST Grant Number JPMJCR14D1.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - We address a problem of estimating pose of a person's head from its RGB image. The employment of CNNs for the problem has contributed to significant improvement in accuracy in recent works. However, we show that the following two methods, despite their simplicity, can attain further improvement: (i) proper adjustment of the margin of bounding box of a detected face, and (ii) choice of loss functions. We show that the integration of these two methods achieve the new state-of-the-art on standard benchmark datasets for in-the-wild head pose estimation. The Tensorflow implementation of our work is available at https://github.com/MingzhenShao/HeadPose.
AB - We address a problem of estimating pose of a person's head from its RGB image. The employment of CNNs for the problem has contributed to significant improvement in accuracy in recent works. However, we show that the following two methods, despite their simplicity, can attain further improvement: (i) proper adjustment of the margin of bounding box of a detected face, and (ii) choice of loss functions. We show that the integration of these two methods achieve the new state-of-the-art on standard benchmark datasets for in-the-wild head pose estimation. The Tensorflow implementation of our work is available at https://github.com/MingzhenShao/HeadPose.
UR - http://www.scopus.com/inward/record.url?scp=85070439684&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85070439684&partnerID=8YFLogxK
U2 - 10.1109/FG.2019.8756605
DO - 10.1109/FG.2019.8756605
M3 - Conference contribution
AN - SCOPUS:85070439684
T3 - Proceedings - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019
BT - Proceedings - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019
Y2 - 14 May 2019 through 18 May 2019
ER -