Author : Ting Shan
Publisher :
Page : 192 pages
File Size : 36,86 MB
Release : 2007
Category : Human face recognition (Computer science)
ISBN :
Author : Ting Shan
Publisher :
Page : 192 pages
File Size : 15,31 MB
Release : 2007
Category : Human face recognition (Computer science)
ISBN :
Author : Harry Wechsler
Publisher : Springer Science & Business Media
Page : 332 pages
File Size : 23,8 MB
Release : 2009-04-05
Category : 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 : Amir Faizi
Publisher :
Page : 0 pages
File Size : 32,71 MB
Release : 2009
Category :
ISBN :
Human face detection and recognition techniques play an important role in applica- tions like face recognition, video surveillance, human computer interface and face image databases. Using color information in images is one of the various possible techniques used for face detection. The novel technique used in this project was the combination of various techniques such as skin color detection, template matching, gradient face de- tection to achieve high accuracy of face detection in frontal faces. The objective in this work was to determine the best rotation angle to achieve optimal detection. Also eye and mouse template matching have been put to test for feature detection.
Author : Takeo Kanade
Publisher : Springer Science & Business Media
Page : 1152 pages
File Size : 14,56 MB
Release : 2005-07-08
Category : Business & Economics
ISBN : 3540278877
This book constitutes the refereed proceedings of the 5th International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA 2005, held in Hilton Rye Town, NY, USA, in July 2005. The 66 revised oral papers and 50 revised poster papers presented were carefully reviewed and selected from numerous submissions. The papers discuss all aspects of biometrics including iris, fingerprint, face, palm print, gait, gesture, speaker, and signature; theoretical and algorithmic issues are dealt with as well as systems issues. The industrial side of biometrics is evident from presentations on smart cards, wireless devices, and architectural and implementation aspects.
Author :
Publisher :
Page : pages
File Size : 48,27 MB
Release :
Category : Artists, Australian
ISBN :
Author : De Marsico, Maria
Publisher : IGI Global
Page : 506 pages
File Size : 27,27 MB
Release : 2014-04-30
Category : 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 : Douglas Yeung
Publisher : Rand Corporation
Page : 90 pages
File Size : 32,47 MB
Release : 2020-05-15
Category : Political Science
ISBN : 197740457X
Face recognition technologies (FRTs) have many practical security-related purposes, but advocacy groups and individuals have expressed apprehensions about their use. This report highlights the high-level privacy and bias implications of FRT systems. The authors propose a heuristic with two dimensions -- consent status and comparison type -- to help determine a proposed FRT's level of privacy and accuracy. They also identify privacy and bias concerns.
Author : Stan Z. Li
Publisher : Springer Science & Business Media
Page : 394 pages
File Size : 19,94 MB
Release : 2005-12-06
Category : 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 : Peter Corcoran
Publisher : BoD – Books on Demand
Page : 342 pages
File Size : 37,60 MB
Release : 2011-07-27
Category : Computers
ISBN : 9533073683
As a baby one of our earliest stimuli is that of human faces. We rapidly learn to identify, characterize and eventually distinguish those who are near and dear to us. We accept face recognition later as an everyday ability. We realize the complexity of the underlying problem only when we attempt to duplicate this skill in a computer vision system. This book is arranged around a number of clustered themes covering different aspects of face recognition. The first section on Statistical Face Models and Classifiers presents reviews and refinements of some well-known statistical models. The next section presents two articles exploring the use of Infrared imaging techniques and is followed by few articles devoted to refinements of classical methods. New approaches to improve the robustness of face analysis techniques are followed by two articles dealing with real-time challenges in video sequences. A final article explores human perceptual issues of face recognition.
