Face illumination processing via dense feature maps and multiple receptive fields
نویسندگان
چکیده
منابع مشابه
Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps
Crowd counting is an important task in computer vision, which has many applications in video surveillance. Although the regression-based framework has achieved great improvements for crowd counting, how to improve the discriminative power of image representation is still an open problem. Conventional holistic features used in crowd counting often fail to capture semantic attributes and spatial ...
متن کاملIllumination Processing in Face Recognition
Driven by the demanding of public security, face recognition has emerged as a viable solution and achieved comparable accuracies to fingerprint system under controlled lightning environment. In recent years, with wide installing of camera in open area, the automatic face recognition in watch-list application is facing a serious problem. Under the open environment, lightning changes is unpredict...
متن کاملReceptive fields for flexible face categorizations.
Abstract-Examining the receptive fields of brain signals can elucidate how information impinging on the former modulates the latter. We applied this time-honored approach in early vision to the higher-level brain processes underlying face categorizations. Electroencephalograms in response to face-information samples were recorded while observers resolved two different categorizations (gender, e...
متن کاملIllumination Invariance for Local Feature Face Recognition
Illumination invariance is one of the most difficult properties to achieve in a face recognition system. Illumination normalization is a way to solve this problem. Previous research has shown that local normalization methods are capable of reducing the error rates significantly even when there are extreme illumination changes [1]. In this paper we propose an improvement to the local feature fac...
متن کاملIllumination Invariant Feature Selection for Face Recognition
We propose a novel hybrid illumination invariant feature selection scheme for face recognition, which is a combination of geometrical feature extraction and linear subspace projection. By local geometry feature enhancement technique, neighborhood histogram equalization (NHE) in our experiment, some illegible edges due to week illumination will be enhanced effectively. Then we applied classic li...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Electronics Letters
سال: 2021
ISSN: 0013-5194,1350-911X
DOI: 10.1049/ell2.12181