Statistical Evaluation of Face Recognition Techniques under Variable Environmental Constraints
نویسندگان
چکیده
منابع مشابه
Evaluation of Face Recognition Techniques
Face recognition is an important technique which can be used in many applications. In recent years, face recognition has attracted large amount of research interest. Many recognition methods have been proposed, however, most of them are not able to make use of local salient features to effectively capture the face information. Recently, SIFT has been proposed for object matching in image retrie...
متن کاملSURF-Face: Face Recognition Under Viewpoint Consistency Constraints
Introduction. Recently, a comparative study in [2] has shown the superior performance of local features for face recognition in unconstrained environments. Due to the global integration of Speeded Up Robust Features (SURF) [1], the authors claim that it stays more robust to various image perturbations than the more locally operating SIFT descriptor. However, no detailed analysis for a SURF base...
متن کاملEmbedded wavelet-based face recognition under variable position
For several years, face recognition has been a hot topic in the image processing field: this technique is applied in several domains such as CCTV, electronic devices delocking and so on. In this context, this work studies the efficiency of a wavelet-based face recognition method in terms of subject position robustness and performance on various systems. The use of wavelet transform has a limite...
متن کاملFace Recognition Under Variable Lighting using Harmonic Image Exemplars
We propose a new approach for face recognition under arbitrary illumination conditions, which requires only one training image per subject (if there is no pose variation) and no 3D shape information. Our method is based on the recent result [1] which demostrated that the set of images of a convex Lambertian object obtained under a wide variety of lighting conditions can be approximated accurate...
متن کاملUsing Statistical Pattern Recognition Techniques to Control Variable Conductance Diffusion
We present an approach for controlling relaxation parameters in variable conductance diffusion. This approach incorporates a Bayesian classifier to perform a partial labeling of an image, followed by a diffusion step. Conductance values between pixels are controlled by statistical measurements made of the partial classification. Several iterations follow, interleaving partial labeling with diff...
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: International Journal of Statistics and Probability
سال: 2015
ISSN: 1927-7040,1927-7032
DOI: 10.5539/ijsp.v4n4p93