Download or read book Using 3D Morphable Models for 3D Avatars and 2D Face Recognition written by Dianle Zhou and published by LAP Lambert Academic Publishing. This book was released on 2014-12-15 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past decade, 3D statistical face model has received much attention by both the commercial and public sectors. It can be used for face modelling for photo-realistic personalized 3D avatars and for the application 2D face recognition technique in biometrics. This book describes how to achieve an automatic 3D face reconstruction system that could be helpful for building photo-realistic personalized 3D avatars and for 2D face recondition with pose variability.
Download or read book Using 3D Morphable Models for 3D Photo realistic Personalized Avatars and 2D Face Recognition written by Dianle Zhou and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past decade, 3D statistical face model (3D Morphable Model) has received much attention by both the commercial and public sectors. It can be used for face modeling for photo-realistic personalized 3D avatars and for the application 2D face recognition technique in biometrics. This thesis describes how to achieve an automatic 3D face reconstruction system that could be helpful for building photo-realistic personalized 3D avatars and for 2D face recognition with pose variability. The first systems we propose Combined Active Shape Model for 2D frontal facial landmark location and its application in 2D frontal face recognition in degraded condition. The second proposal is 3D Active Shape Model (3D-ASM) algorithm which is presented to automatically locate facial landmarks from different views. The third contribution is to use biometric data (2D images and 3D scan ground truth) for quantitatively evaluating the 3D face reconstruction. Finally, we address the issue of automatic 2D face recognition across pose using 3D Morphable Model.
Download or read book 3D Face Modeling Analysis and Recognition written by Mohamed Daoudi and published by John Wiley & Sons. This book was released on 2013-06-11 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Component based Face Recognition with 3D Morphable Models written by Jennifer Huang and published by . This book was released on 2002 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Face Recognition in Low Resolution Using a 3D Morphable Model written by Pouria Mortazavian and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Face Recognition and Growth Prediction Using a 3D Morphable Face Model written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We present two different techniques and applications that are based on the 3D Morphable Face Model. In the first part of this thesis, we develop a new top-down approach to 3D data analysis by fitting a 3D Morphable Face Model to 3D scans of faces. The algorithm is specifically designed for scans which were recorded in a perspective projection. In an analysis-by-synthesis approach, shape, texture, pose and illumination are optimized simultaneously. Starting from raw 3D scans, the algorithm determines a PCA-based representation which fits the scan best. Also, fragmentary surfaces are completed and correspondence to a reference face of the morphable model is established. Simultaneously, illumination conditions are estimated in an explicit simulation that involves specular and diffuse components. The effects of lighting and shading are removed to obtain an illumination corrected texture which stores the diffuse reflectance in each point of the facial surface. We use the algorithm as a core component in 3D face recognition on a subset of the FRGC database of scans. In part two of this thesis we explore the growth of 3D faces, represented in a 3D Morphable Face Model. Assuming that 3D faces follow curved trajectories in face space as they age, we present a novel algorithm that computes individual aging trajectories for given faces. From a database of 3D scans of teenagers and adults, we learn an non-linear function, that assigns an age to each face vector using support vector regression. Computing the gradient of this function leads us to trajectories that describe the direction of growth in face space. Starting from photographs of faces we apply the aging prediction to images of faces by reconstructing a 3D model from the input image and applying the aging transformation on both shape and texture. The resulting face model is rendered back into the same image or into images of other individuals at the appropriate ages, for example images of older children. Also we may com.
Download or read book Computer Vision ACCV 2020 written by Hiroshi Ishikawa and published by Springer Nature. This book was released on 2021-02-25 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.* The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; segmentation and grouping Part II: low-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysis Part VI: applications of computer vision; vision for X; datasets and performance analysis *The conference was held virtually.
Download or read book Deep Facial Expression Modeling and 3D Motion Retargeting from 2D Images written by Bindita Chaudhuri and published by . This book was released on 2021 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Facial expression modeling and motion retargeting, which involves estimating the 3D motion of a human face from a 2D image and transferring it to a 3D character, is an important problem in both computer graphics and computer vision. Traditional methods fit a 3D morphable model (3DMM) to the face, which requires an additional face detection step, does not ensure perceptual validity of the retargeted expression, and has limited modeling capacity (hence fails to generalize well to in-the-wild data). In this thesis, I present five deep learning based approaches to overcome these limitations: (1) a supervised network to jointly predict the bounding box locations and 3DMM parameters for multiple faces in a 2D image, (2) a self-supervised framework to jointly learn a personalized face model per user and per-frame facial motion parameters from in-the-wild videos of user expressions, (3) a multimodal approach that leverages both audio and video information to create a 4D facial avatar using dynamic neural radiance fields, (4) a semi-supervised multi-stage system that leverages a database of hand-animated character expressions to predict a character's rig parameters from a user's facial expressions, and (5) an unsupervised cycle-consistent generative adversarial network to directly predict the character's 3D geometry with retargeted expression. Experimental results have shown that these approaches outperform state-of-the-art methods in terms of retargeting accuracy. Applications of these approaches include avatar animation for visual storytelling or virtual conversation, motion capture films, and social AR/VR experience.
Download or read book Recent Advances in 3D Imaging Modeling and Reconstruction written by Voulodimos, Athanasios and published by IGI Global. This book was released on 2020-02-28 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D image reconstruction is used in many fields, such as medicine, entertainment, and computer science. This highly demanded process comes with many challenges, such as images becoming blurry by atmospheric turbulence, getting snowed with noise, or becoming damaged within foreign regions. It is imperative to remain well-informed with the latest research in this field. Recent Advances in 3D Imaging, Modeling, and Reconstruction is a collection of innovative research on the methods and common techniques of image reconstruction as well as the accuracy of these methods. Featuring coverage on a wide range of topics such as ray casting, holographic techniques, and machine learning, this publication is ideally designed for graphic designers, computer engineers, medical professionals, robotics engineers, city planners, game developers, researchers, academicians, and students.
Download or read book Computer Vision ACCV 2016 Workshops written by Chu-Song Chen and published by Springer. This book was released on 2017-03-14 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set, consisting of LNCS 10116, 10117, and 10118, contains carefully reviewed and selected papers presented at 17 workshops held in conjunction with the 13th Asian Conference on Computer Vision, ACCV 2016, in Taipei, Taiwan in November 2016. The 134 full papers presented were selected from 223 submissions. LNCS 10116 contains the papers selected
Download or read book Computer Vision ECCV 2022 written by Shai Avidan and published by Springer Nature. This book was released on 2022-11-11 with total page 807 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Download or read book 3D Face Recognition Across Pose and Expression written by Xiaoguang Lu and published by . This book was released on 2006 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Study of 3D Face Tracking Methods Using 3D Morphable Models written by Jonas Probst and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Automatic 3D Face Recognition And Modeling From 2D Images written by Sushma Jaiswal and published by LAP Lambert Academic Publishing. This book was released on 2011-10 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face recognition and modeling has been an active research area over last 35 years. This research spans several disciplines such as image processing, pattern recognition, computer vision, and neural networks. It has been studied by scientists from different areas of psychophysical sciences and those from different areas of computer sciences. Psychologists and neuroscientists mainly deal with the human perception part of the topic, whereas engineers studying on machine recognition of human faces deal with the computational aspects of face recognition. Face recognition has applications mainly in the fields of biometrics, access control, law enforcement, and security and surveillance systems.
Download or read book Biometric Based Physical and Cybersecurity Systems written by Mohammad S. Obaidat and published by Springer. This book was released on 2018-10-24 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest developments in biometrics technologies and reports on new approaches, methods, findings, and technologies developed or being developed by the research community and the industry. The book focuses on introducing fundamental principles and concepts of key enabling technologies for biometric systems applied for both physical and cyber security. The authors disseminate recent research and developing efforts in this area, investigate related trends and challenges, and present case studies and examples such as fingerprint, face, iris, retina, keystroke dynamics, and voice applications . The authors also investigate the advances and future outcomes in research and development in biometric security systems. The book is applicable to students, instructors, researchers, industry practitioners, and related government agencies staff. Each chapter is accompanied by a set of PowerPoint slides for use by instructors.
Download or read book Articulated Motion and Deformable Objects written by Francisco José Perales and published by Springer. This book was released on 2016-07-06 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Articulated Motion and Deformable Objects, AMDO 2016, held in Palma de Mallorca, Spain, in July 2016.The 20 papers presented were carefully reviewed and selected from 34 submissions. The conference dealt with the following topics: advanced computer graphics and immersive videogames; human modeling and animation; human motion analysis and tracking; 3D human reconstruction and recognition; multimodal user interaction and applications; ubiquitous and social computing; design tools; input technology; programming user interfaces; 3D medical deformable models and visualization; deep learning methods for computer vision and graphics; multibiometric.
Download or read book 3D Face Processing written by Zhen Wen and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
