Robust Face Recognition Under Adverse Conditions
Author | : Stefan Hörmann |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : |
ISBN | : |
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Author | : Stefan Hörmann |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : |
ISBN | : |
Author | : De Marsico, Maria |
Publisher | : IGI Global |
Total Pages | : 506 |
Release | : 2014-04-30 |
Genre | : Computers |
ISBN | : 146665967X |
Facial recognition software has improved by leaps and bounds over the past few decades, with error rates decreasing significantly within the past ten years. Though this is true, conditions such as poor lighting, obstructions, and profile-only angles have continued to persist in preventing wholly accurate readings. Face Recognition in Adverse Conditions examines how the field of facial recognition takes these adverse conditions into account when designing more effective applications by discussing facial recognition under real world PIE variations, current applications, and the future of the field of facial recognition research. The work is intended for academics, engineers, and researchers specializing in the field of facial recognition.
Author | : Shady S. Al-Atrash |
Publisher | : LAP Lambert Academic Publishing |
Total Pages | : 96 |
Release | : 2012-08 |
Genre | : |
ISBN | : 9783659201219 |
The objective of this book is to propose a new algorithm for obtaining a stable face detection and recognition techniques that have the capabilities of detecting the face with different poses and under different conditions. To obtain this stability, a hybrid of Feature-Based and Template Matching approaches are used in a new manner and under different stages, robust image segmentation, filtering steps and features detection using Feature-Based approach which can work in real-time with minimal training in contrast to other approaches such as image-based approach. This work has advantages over other approaches flow out from the ability of the proposed algorithm on detecting faces with different poses (Left, Right and Frontal) in varying illumination conditions and different races. This is done by merging some already defined algorithms such as Template Matching with new proposed algorithm to strength the detection process and obtaining robust algorithm with good results. Experimental results show that the proposed method is robust under a wide range of lighting conditions, different poses and different races.The proposed method gives a correct detection rate reach 94%.
Author | : Shaokang Chen |
Publisher | : |
Total Pages | : 140 |
Release | : 2010-01 |
Genre | : |
ISBN | : 9783838329277 |
Author | : Harry Wechsler |
Publisher | : Springer Science & Business Media |
Total Pages | : 332 |
Release | : 2009-04-05 |
Genre | : Computers |
ISBN | : 0387384642 |
This book seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields of endeavor. These include neurosciences, statistics, signal and image processing, computer vision, machine learning and data mining. The book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future research and development. The book’s focused approach and its clarity of presentation make this an excellent reference work.
Author | : Stan Z. Li |
Publisher | : Springer Science & Business Media |
Total Pages | : 394 |
Release | : 2005-12-06 |
Genre | : Computers |
ISBN | : 0387272577 |
Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still offers a great challenge to computer-vision and pattern recognition researchers. This handbook is a comprehensive account of face recognition research and technology, written by a group of leading international researchers. Twelve chapters cover all the sub-areas and major components for designing operational face recognition systems. Background, modern techniques, recent results, and challenges and future directions are considered. The book is aimed at practitioners and professionals planning to work in face recognition or wanting to become familiar with the state-of- the-art technology. A comprehensive handbook, by leading research authorities, on the concepts, methods, and algorithms for automated face detection and recognition. Essential reference resource for researchers and professionals in biometric security, computer vision, and video image analysis.
Author | : Shaohua Kevin Zhou |
Publisher | : Springer Science & Business Media |
Total Pages | : 244 |
Release | : 2006-10-11 |
Genre | : Computers |
ISBN | : 0387294864 |
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 | : Management Association, Information Resources |
Publisher | : IGI Global |
Total Pages | : 2494 |
Release | : 2018-02-02 |
Genre | : Computers |
ISBN | : 1522552057 |
The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material on development of computers for gaining understanding about videos and digital images. Highlighting a range of topics, such as computational models, machine learning, and image processing, this multi-volume book is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.
Author | : Stan Z. Li |
Publisher | : Springer Nature |
Total Pages | : 473 |
Release | : 2024-01-30 |
Genre | : Computers |
ISBN | : 3031435672 |
The history of computer-aided face recognition dates to the 1960s, yet the problem of automatic face recognition – a task that humans perform routinely and effortlessly in our daily lives – still poses great challenges, especially in unconstrained conditions. This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational recognition systems. After a thorough introduction, each subsequent chapter focuses on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Topics and features: Fully updated, revised, and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated detection and recognition systems Provides comprehensive coverage of face detection, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications Contains numerous step-by-step algorithms Describes a broad range of applications from person verification, surveillance, and security, to entertainment Presents contributions from an international selection of preeminent experts Integrates numerous supporting graphs, tables, charts, and performance data This practical and authoritative reference is an essential resource for researchers, professionals and students involved in image processing, computer vision, biometrics, security, Internet, mobile devices, human-computer interface, E-services, computer graphics and animation, and the computer game industry.
Author | : Changxing Ding |
Publisher | : |
Total Pages | : 178 |
Release | : 2016 |
Genre | : Facial expression |
ISBN | : |