TY - GEN
T1 - LFHOG
T2 - 23rd IEEE International Conference on Image Processing, ICIP 2016
AU - Ji, Zhe
AU - Zhu, Hao
AU - Wang, Qing
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/3
Y1 - 2016/8/3
N2 - How to avoid the invading of the attack in the biometric system, such as 2D printed photos, gradually becomes an important research hotspot. In this paper, we present a novel descriptor in light field to tackle the issue. Based on the angular and spatial information in light field, the proposed light field histogram of gradient (LFHoG) descriptor is derived from three directions, including vertical, horizontal and depth. Different with traditional HoG in 2D image, the gradient in depth direction is distinctive in light field. To validate the effectiveness of the proposed LFHoG descriptor, experiments have been carried out on light field datasets taken by a Lytro camera. The descriptor can achieve 99.75% accuracy on the user collected dataset, which proves the correctness and effectiveness of the LFHoG descriptor.
AB - How to avoid the invading of the attack in the biometric system, such as 2D printed photos, gradually becomes an important research hotspot. In this paper, we present a novel descriptor in light field to tackle the issue. Based on the angular and spatial information in light field, the proposed light field histogram of gradient (LFHoG) descriptor is derived from three directions, including vertical, horizontal and depth. Different with traditional HoG in 2D image, the gradient in depth direction is distinctive in light field. To validate the effectiveness of the proposed LFHoG descriptor, experiments have been carried out on light field datasets taken by a Lytro camera. The descriptor can achieve 99.75% accuracy on the user collected dataset, which proves the correctness and effectiveness of the LFHoG descriptor.
KW - Face detection
KW - Light field
KW - Light field histogram of gradient (LFHoG)
KW - Live face
UR - http://www.scopus.com/inward/record.url?scp=85006699580&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2016.7532603
DO - 10.1109/ICIP.2016.7532603
M3 - 会议稿件
AN - SCOPUS:85006699580
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1474
EP - 1478
BT - 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
PB - IEEE Computer Society
Y2 - 25 September 2016 through 28 September 2016
ER -