3D Face Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook 3D Face Processing write by Zhen Wen. This book was released on 2006-04-11. 3D Face Processing available in PDF, EPUB and Kindle. 3D Face Processing: Modeling, Analysis and Synthesis introduces the frontiers of 3D face processing techniques. It reviews existing 3D face processing techniques, including techniques for 3D face geometry modeling; 3D face motion modeling; and 3D face motion tracking and animation. Then it discusses a unified framework for face modeling, analysis and synthesis. In this framework, the authors present new methods for modeling complex natural facial motion, as well as face appearance variations due to illumination and subtle motion. Then the authors apply the framework to face tracking, expression recognition and face avatar for HCI interface. They conclude this book with comments on future work in the 3D face processing framework. 3D Face Processing: Modeling, Analysis and Synthesis will interest those working in face processing for intelligent human computer interaction and video surveillance. It contains a comprehensive survey on existing face processing techniques, which can serve as a reference for students and researchers. It also covers in-depth discussion on face motion analysis and synthesis algorithms, which will benefit more advanced graduate students and researchers.
3D Face Modeling, Analysis and Recognition
3D Face Modeling, Analysis and Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook 3D Face Modeling, Analysis and Recognition write by Mohamed Daoudi. This book was released on 2013-06-11. 3D Face Modeling, Analysis and Recognition available in PDF, EPUB and Kindle. 3D Face Modeling, Analysis and Recognition presents methodologies for analyzing shapes of facial surfaces, develops computational tools for analyzing 3D face data, and illustrates them using state-of-the-art applications. The methodologies chosen are based on efficient representations, metrics, comparisons, and classifications of features that are especially relevant in the context of 3D measurements of human faces. These frameworks have a long-term utility in face analysis, taking into account the anticipated improvements in data collection, data storage, processing speeds, and application scenarios expected as the discipline develops further. The book covers face acquisition through 3D scanners and 3D face pre-processing, before examining the three main approaches for 3D facial surface analysis and recognition: facial curves; facial surface features; and 3D morphable models. Whilst the focus of these chapters is fundamentals and methodologies, the algorithms provided are tested on facial biometric data, thereby continually showing how the methods can be applied. Key features: • Explores the underlying mathematics and will apply these mathematical techniques to 3D face analysis and recognition • Provides coverage of a wide range of applications including biometrics, forensic applications, facial expression analysis, and model fitting to 2D images • Contains numerous exercises and algorithms throughout the book
Face Processing: Advanced Modeling and Methods
Face Processing: Advanced Modeling and Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Face Processing: Advanced Modeling and Methods write by Wenyi Zhao. This book was released on 2011-07-28. Face Processing: Advanced Modeling and Methods available in PDF, EPUB and Kindle. Major strides have been made in face processing in the last ten years due to the fast growing need for security in various locations around the globe. A human eye can discern the details of a specific face with relative ease. It is this level of detail that researchers are striving to create with ever evolving computer technologies that will become our perfect mechanical eyes. The difficulty that confronts researchers stems from turning a 3D object into a 2D image. That subject is covered in depth from several different perspectives in this volume. Face Processing: Advanced Modeling and Methods begins with a comprehensive introductory chapter for those who are new to the field. A compendium of articles follows that is divided into three sections. The first covers basic aspects of face processing from human to computer. The second deals with face modeling from computational and physiological points of view. The third tackles the advanced methods, which include illumination, pose, expression, and more. Editors Zhao and Chellappa have compiled a concise and necessary text for industrial research scientists, students, and professionals working in the area of image and signal processing. Contributions from over 35 leading experts in face detection, recognition and image processing Over 150 informative images with 16 images in FULL COLOR illustrate and offer insight into the most up-to-date advanced face processing methods and techniques Extensive detail makes this a need-to-own book for all involved with image and signal processing
Three Dimensional Face Processing and Its Applications in Biometrics
Three Dimensional Face Processing and Its Applications in Biometrics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Three Dimensional Face Processing and Its Applications in Biometrics write by Yuxiao Hu. This book was released on 2008. Three Dimensional Face Processing and Its Applications in Biometrics available in PDF, EPUB and Kindle.
Efficient 3D face recognition based on PCA
Efficient 3D face recognition based on PCA - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Efficient 3D face recognition based on PCA write by Yagnesh Parmar. This book was released on 2012-11-05. Efficient 3D face recognition based on PCA available in PDF, EPUB and Kindle. Project Report from the year 2012 in the subject Engineering - Computer Engineering, Gujarat University, course: Electronics and communication, language: English, abstract: This thesis describes a face recognition system that overcomes the problem of changes in gesture and mimics in three-dimensional (3D) range images. Here, we propose a local variation detection and restoration method based on the two-dimensional (2D) principal component analysis (PCA). The depth map of a 3D facial image is first smoothed using median filter to minimize the local variation. The detected face shape is cropped & normalized to a standard image size of 101x101 pixels and the forefront nose point is selected to be the image center. Facial depthvalues are scaled between 0 and 255 for translation and scaling-invariant identification. The preprocessed face image is smoothed to minimize the local variations. The 2DPCA is applied to the resultant range data and the corresponding principal-(or eigen-) images are used as the characteristic feature vectors of the subject to find his/her identity in the database of pre-recorded faces. The system's performance is tested against the GavabDB facial databases. Experimental results show that the proposed method is able to identify subjects with different gesture and mimics in the presence of noise in their 3D facial image.
