LFHOG: A discriminative descriptor for live face detection from light field image
Zhe Ji, Hao Zhu, Qing Wang · 2016
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.