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Author: Ashu Kumar
Publisher:
ISBN: 9781763691568
Category : Computers
Languages : en
Pages : 0
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Book Description
It focuses on creating and refining an advanced face detection algorithm specifically designed to handle challenging scenarios, such as occlusion and non-uniform illumination, in still images. The primary objective of this research is to develop an accurate and robust algorithm that can effectively detect faces even when they are partially covered or under varying lighting conditions. The project begins with an in-depth analysis of existing face detection techniques and their limitations when confronted with occlusion and non-uniform illumination. Through extensive research and experimentation, novel algorithms and methodologies are developed to overcome these challenges and improve the accuracy and reliability of face detection in such scenarios. The developed algorithm leverages advanced computer vision techniques, including feature extraction, pattern recognition, and machine learning, to identify facial characteristics and discriminate between faces and non-face regions. Special attention is given to handling occlusions, such as sunglasses, masks, or facial hair, as well as non-uniform illumination conditions that can create shadows or uneven lighting across the face. The project includes a rigorous evaluation and validation process to assess the performance of the developed algorithm. This involves using benchmark datasets containing occluded and non-uniformly illuminated images, along with performance metrics such as precision, recall, and F1-score. Feedback and insights from domain experts are also considered to refine and optimize the algorithm. The outcomes of this project have significant implications in various applications, including surveillance, image processing, and facial recognition systems. Accurate face detection in the presence of occlusion and non-uniform illumination is crucial for tasks such as identity verification, security, and analysis of facial expressions. The project aims to advance the field of computer vision by creating and refining an algorithm specifically tailored for accurate and reliable face detection in challenging scenarios. The project's outcomes have the potential to enhance various applications that rely on face detection and contribute to advancements in the fields of surveillance, image processing, and biometrics
Author: Ashu Kumar
Publisher:
ISBN: 9781763691568
Category : Computers
Languages : en
Pages : 0
Get Book Here
Book Description
It focuses on creating and refining an advanced face detection algorithm specifically designed to handle challenging scenarios, such as occlusion and non-uniform illumination, in still images. The primary objective of this research is to develop an accurate and robust algorithm that can effectively detect faces even when they are partially covered or under varying lighting conditions. The project begins with an in-depth analysis of existing face detection techniques and their limitations when confronted with occlusion and non-uniform illumination. Through extensive research and experimentation, novel algorithms and methodologies are developed to overcome these challenges and improve the accuracy and reliability of face detection in such scenarios. The developed algorithm leverages advanced computer vision techniques, including feature extraction, pattern recognition, and machine learning, to identify facial characteristics and discriminate between faces and non-face regions. Special attention is given to handling occlusions, such as sunglasses, masks, or facial hair, as well as non-uniform illumination conditions that can create shadows or uneven lighting across the face. The project includes a rigorous evaluation and validation process to assess the performance of the developed algorithm. This involves using benchmark datasets containing occluded and non-uniformly illuminated images, along with performance metrics such as precision, recall, and F1-score. Feedback and insights from domain experts are also considered to refine and optimize the algorithm. The outcomes of this project have significant implications in various applications, including surveillance, image processing, and facial recognition systems. Accurate face detection in the presence of occlusion and non-uniform illumination is crucial for tasks such as identity verification, security, and analysis of facial expressions. The project aims to advance the field of computer vision by creating and refining an algorithm specifically tailored for accurate and reliable face detection in challenging scenarios. The project's outcomes have the potential to enhance various applications that rely on face detection and contribute to advancements in the fields of surveillance, image processing, and biometrics
Author: Peter Corcoran
Publisher: BoD – Books on Demand
ISBN: 9533075155
Category : Computers
Languages : en
Pages : 266
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Book Description
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 presents an architecture for face recognition based on Hidden Markov Models; it is followed by an article on coding methods. The next section is devoted to 3D methods of face recognition and is followed by a section covering various aspects and techniques in video. Next short section is devoted to the characterization and detection of features in faces. Finally, you can find an article on the human perception of faces and how different neurological or psychological disorders can affect this.
Author: Harris Papadopoulos
Publisher: Springer Science & Business Media
ISBN: 364216238X
Category : Computers
Languages : en
Pages : 420
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Book Description
The abundance of information and increase in computing power currently enable researchers to tackle highly complicated and challenging computational problems. Solutions to such problems are now feasible using advances and innovations from the area of Artificial Intelligence. The general focus of the AIAI conference is to provide insights on how Artificial Intelligence may be applied in real-world situations and serve the study, analysis and modeling of theoretical and practical issues. This volume contains papers selected for presentation at the 6th IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI 2010) and held in Larnaca, Cyprus, during October 6–7, 2010. IFIP AIAI 2010 was co-organized by the University of Cyprus and the Cyprus University of Technology and was sponsored by the Cyprus University of Technology, Frederick University and the Cyprus Tourism Organization. AIAI 2010 is the official conference of the WG12.5 “Artificial Intel- gence Applications” working group of IFIP TC12, the International Federation for Information Processing Technical Committee on Artificial Intelligence (AI). AIAI is a conference that grows in significance every year attracting researchers from different countries around the globe. It maintains high quality, standards and welcomes research papers describing technical advances and engineering and ind- trial applications of intelligent systems. AIAI 2010 was not confined to introducing how AI may be applied in real-life situations, but also included innovative methods, techniques, tools and ideas of AI expressed at the algorithmic or systemic level.
Author: Shaohua Kevin Zhou
Publisher: Springer Science & Business Media
ISBN: 0387294864
Category : Computers
Languages : en
Pages : 244
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Book Description
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: Gian Luca Foresti
Publisher: Springer Nature
ISBN: 3031431480
Category : Computers
Languages : en
Pages : 588
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Book Description
This two-volume set LNCS 14233-14234 constitutes the refereed proceedings of the 22nd International Conference on Image Analysis and Processing, ICIAP 2023, held in Udine, Italy, during September 11–15, 2023. The 85 full papers presented together with 7 short papers were carefully reviewed and selected from 144 submissions. The conference focuses on video analysis and understanding; pattern recognition and machine learning; deep learning; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; and robot vision.
Author: Ioanna-Ourania Stathopoulou
Publisher: IOS Press
ISBN: 1607505967
Category : Computers
Languages : en
Pages : 268
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Book Description
It is generally known that human faces, as well as body motions and gestures, provide a wealth of information about a person, such as age, race, sex and emotional state. This monograph primarily studies the perception of facial expression of emotion, and secondarily of motion and gestures, with the purpose of developing a fully automated visual affect recognition system for use in modes of human/computer interaction. The book begins with a survey of the literature on emotion perception, followed by a decription of empirical studies conducted with human participants and the construction of a face image database . On the basis of this work, a visual affect recognition system was developed, consisting of two modules: a face detection subsystem and a facia expression recognition subsystem. Details of this system are demonstrated and analyzed, and extensive performance evaluations and test results are provided. Finally, current research avenues leading to visual affect recognition via analysis of body motin and gestures are also discussed."
Author: Zhang, Yu-Jin
Publisher: IGI Global
ISBN: 1615209921
Category : Computers
Languages : en
Pages : 404
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Book Description
More than 30 leading experts from around the world provide comprehensive coverage of various branches of face image analysis, making this text a valuable asset for students, researchers, and practitioners engaged in the study, research, and development of face image analysis techniques.
Author: Romain Belmonte
Publisher: John Wiley & Sons
ISBN: 1789451116
Category : Computers
Languages : en
Pages : 325
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Book Description
Face analysis is essential for a large number of applications such as human-computer interaction or multimedia (e.g. content indexing and retrieval). Although many approaches are under investigation, performance under uncontrolled conditions is still not satisfactory. The variations that impact facial appearance (e.g. pose, expression, illumination, occlusion, motion blur) make it a difficult problem to solve. This book describes the progress towards this goal, from a core building block – landmark detection – to the higher level of micro and macro expression recognition. Specifically, the book addresses the modeling of temporal information to coincide with the dynamic nature of the face. It also includes a benchmark of recent solutions along with details about the acquisition of a dataset for such tasks.
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1522552057
Category : Computers
Languages : en
Pages : 2494
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Book Description
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: Sergiyenko, Oleg
Publisher: IGI Global
ISBN: 1522506330
Category : Computers
Languages : en
Pages : 377
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Book Description
Sensor technologies play a large part in modern life as they are present in security systems, digital cameras, smartphones, and motion sensors. While these devices are always evolving, research is being done to further develop this technology to help detect and analyze threats, perform in-depth inspections, and perform tracking services. Developing and Applying Optoelectronics in Machine Vision evaluates emergent research and theoretical concepts in scanning devices and 3D reconstruction technologies being used to measure their environment. Examining the development of the utilization of machine vision practices and research, optoelectronic devices, and sensor technologies, this book is ideally suited for academics, researchers, students, engineers, and technology developers.
