Towards A Solution Of Unconstrained Face Recognition PDF Download
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Author | : Archana Sapkota |
Publisher | : |
Total Pages | : 290 |
Release | : 2013 |
Genre | : Human face recognition (Computer science) |
ISBN | : |
Download Towards a Solution of Unconstrained Face Recognition Book in PDF, ePub and Kindle
Author | : Shaohua Kevin Zhou |
Publisher | : Springer Science & Business Media |
Total Pages | : 244 |
Release | : 2006-10-11 |
Genre | : Computers |
ISBN | : 0387294864 |
Download Unconstrained Face Recognition Book in PDF, ePub and Kindle
Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms. Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.
Author | : Yichun Shi |
Publisher | : |
Total Pages | : 124 |
Release | : 2021 |
Genre | : Electronic dissertations |
ISBN | : |
Download Towards a Robust Unconstrained Face Recognition Pipeline with Deep Neural Networks Book in PDF, ePub and Kindle
Face recognition is a classic problem in the field of computer vision and pattern recognition due to its wide applications in real-world problems such as access control, identity verification, physical security, surveillance, etc. Recent progress in deep learning techniques and the access to large-scale face databases has lead to a significant improvement of face recognition accuracy under constrained and semi-constrained scenarios. Deep neural networks are shown to surpass human performance on Labeled Face in the Wild (LFW), which consists of celebrity photos captured in the wild. However, in many applications, e.g. surveillance videos, where we cannot assume that the presented face is under controlled variations, the performance of current DNN-based methods drop significantly. The main challenges in such an unconstrained face recognition problem include, but are not limited to: lack of labeled data, robust face normalization, discriminative representation learning and the ambiguity of facial features caused by information loss.In this thesis, we propose a set of methods that attempt to address the above challenges in unconstrained face recognition systems. Starting from a classic deep face recognition pipeline, we review how each step in this pipeline could fail on low-quality uncontrolled input faces, what kind of solutions have been studied before, and then introduce our proposed methods. The various methods proposed in this thesis are independent but compatible with each other. Experiment on several challenging benchmarks, e.g. IJB-C and IJB-S show that the proposed methods are able to improve the robustness and reliability of deep unconstrained face recognition systems. Our solution achieves state-of-the-art performance, i.e. 95.0% TAR FAR=0.001% on IJB-C dataset and 61.98% Rank1 retrieval rate on the surveillance-to-booking protocol of IJB-S dataset.
Author | : Muhammad Saquib Sarfraz |
Publisher | : |
Total Pages | : |
Release | : 2008 |
Genre | : |
ISBN | : |
Download Towards Automatic Face Recognition in Unconstrained Ccenarios Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : 151 |
Release | : 2008 |
Genre | : |
ISBN | : |
Download Towards Automatic Face Recognition in Unconstrained Scenarios Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : |
Release | : 2004 |
Genre | : |
ISBN | : |
Download Unconstrained Face Recognition Book in PDF, ePub and Kindle
Author | : A. J. Howell |
Publisher | : |
Total Pages | : 8 |
Release | : 1996 |
Genre | : Face perception |
ISBN | : |
Download Towards Unconstrained Face Recognition from Image Sequences Book in PDF, ePub and Kindle
Abstract: "This paper presents experiments using Radial Basis Function (RBF) networks to tackle the unconstrained face recognition problem using low resolution video information. Input representations that mimic the effects of receptive field functions found at various stages of the human vision system were used with RBF networks that learnt to classify and generalise over different views of each person to be recognised. In particular, Difference of Gaussian (DoG) filtering and Gabor wavelet analysis are compared for face recognition from an image sequence. RBF techniques are shown to provide excellent levels of performance where the view varies and we discuss how to relax constraints on data capture and improve preprocessing to obtain an effective scheme for real-time, unconstrained face recognition."
Author | : Shaohua Kevin Zhou |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2008-11-01 |
Genre | : Computers |
ISBN | : 9780387508115 |
Download Unconstrained Face Recognition Book in PDF, ePub and Kindle
Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms. Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.
Author | : Xingjie Wei |
Publisher | : |
Total Pages | : 0 |
Release | : 2014 |
Genre | : |
ISBN | : |
Download Unconstrained Face Recognition with Occlusions Book in PDF, ePub and Kindle
Author | : Zahid Riaz |
Publisher | : |
Total Pages | : |
Release | : 2011 |
Genre | : |
ISBN | : 9789533075426 |
Download Towards Unconstrained Face Recognition Using 3D Face Model Book in PDF, ePub and Kindle