[HTML][HTML] Deep learning and transfer learning for device-free human activity recognition: A survey

J Yang, Y Xu, H Cao, H Zou, L Xie - Journal of Automation and Intelligence, 2022 - Elsevier
Device-free activity recognition plays a crucial role in smart building, security, and human–
computer interaction, which shows its strength in its convenience and cost-efficiency …

Face recognition under varying illumination using gradientfaces

T Zhang, YY Tang, B Fang, Z Shang… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
In this correspondence, we propose a novel method to extract illumination insensitive
features for face recognition under varying lighting called the Gradientfaces. Theoretical …

Normalization of face illumination based on large-and small-scale features

X Xie, WS Zheng, J Lai, PC Yuen… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
A face image can be represented by a combination of large-and small-scale features. It is
well-known that the variations of illumination mainly affect the large-scale features (low …

Arid: A new dataset for recognizing action in the dark

Y Xu, J Yang, H Cao, K Mao, J Yin, S See - Deep Learning for Human …, 2021 - Springer
The task of action recognition in dark videos is useful in various scenarios, eg, night
surveillance and self-driving at night. Though progress has been made in action recognition …

Singular value decomposition and local near neighbors for face recognition under varying illumination

C Hu, X Lu, M Ye, W Zeng - Pattern Recognition, 2017 - Elsevier
Illumination processing is a challenging task in face recognition. Although numerous
techniques have been proposed to tackle this problem, none of them can achieve high …

Local contrast enhancement and adaptive feature extraction for illumination-invariant face recognition

WC Kao, MC Hsu, YY Yang - Pattern recognition, 2010 - Elsevier
Recognizing human faces in various lighting conditions is quite a difficult problem. The
problem becomes more difficult when face images are taken in extremely high dynamic …

Extraction of illumination invariant facial features from a single image using nonsubsampled contourlet transform

X Xie, J Lai, WS Zheng - Pattern Recognition, 2010 - Elsevier
Face recognition under varying lighting conditions is challenging, especially for single
image based recognition system. Exacting illumination invariant features is an effective …

Robust face recognition technique under varying illumination

J Hussain Shah, M Sharif, M Raza… - Journal of applied …, 2015 - scielo.org.mx
Face recognition is one of a complex biometrics in the field of pattern recognition due to the
constraints imposed by variation in the appearance of facial images. These changes in …

Illumination invariant single face image recognition under heterogeneous lighting condition

JY Zhu, WS Zheng, F Lu, JH Lai - Pattern Recognition, 2017 - Elsevier
Illumination problem is still a bottleneck of robust face recognition system, which demands
extracting illumination invariant features. In this field, existing works only consider the …

Method and system for representing a virtual object in a view of a real environment

S Knorr, P Meier - US Patent 10,417,824, 2019 - Google Patents
The invention relates to a method of representing a virtual object in a view of a real
environment which comprises the steps of providing image information of a first image of at …