Download or read book Evolutional Normal Maps 3D Face Representations for 2D 3D Face Recognition Face Modelling and Data Augmentation written by Michael Danner and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 Facial Texture Super Resolution by Fitting 3D Face Models written by Qu, Chengchao and published by KIT Scientific Publishing. This book was released on 2018-10-02 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes to solve the low-resolution (LR) facial analysis problem with 3D face super-resolution (FSR). A complete processing chain is presented towards effective 3D FSR in real world. To deal with the extreme challenges of incorporating 3D modeling under the ill-posed LR condition, a novel workflow coupling automatic localization of 2D facial feature points and 3D shape reconstruction is developed, leading to a robust pipeline for pose-invariant hallucination of the 3D facial texture.

Download or read book Representations of 3D Faces written by Mayur Mudigonda and published by . This book was released on 2010 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 3D Face Modelling for 2D 3D Face Recognition written by J. R. Tena Rodriguez and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Two and Three Dimensional Patterns of the Face written by Peter W. Hallinan and published by CRC Press. This book was released on 1999-06-15 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: The human face is perhaps the most familiar and easily recognized object in the world, yet both its three-dimensional shape and its two-dimensional images are complex and hard to characterize. This book develops the vocabulary of ridges and parabolic curves, of illumination eigenfaces and elastic warpings for describing the perceptually salient fea

Download or read book Face Geometry and Appearance Modeling written by Zicheng Liu and published by Cambridge University Press. This book was released on 2011-04-18 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human faces are familiar to our visual systems. We easily recognize a person's face in arbitrary lighting conditions and in a variety of poses; detect small appearance changes; and notice subtle expression details. Can computer vision systems process face images as well as human vision systems can? Face image processing has potential applications in surveillance, image and video search, social networking and other domains. A comprehensive guide to this fascinating topic, this book provides a systematic description of modeling face geometry and appearance from images, including information on mathematical tools, physical concepts, image processing and computer vision techniques, and concrete prototype systems. The book will be an excellent reference for researchers and graduate students in computer vision, computer graphics and multimedia, as well as application developers who would like to gain a better understanding of the state of the art.

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 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 Surface Representations for 3D Face Recognition written by Theodoros Papatheodorou and published by . This book was released on 2007 with total page 1 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 New Approaches to Characterization and Recognition of Faces written by Peter Corcoran and published by BoD – Books on Demand. This book was released on 2011-08-01 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book 3D Face Reconstruction and Emotion Analytics with Part based Morphable Models written by Hai Jin and published by . This book was released on 2018 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D face reconstruction and facial expression analytics using 3D facial data are new and hot research topics in computer graphics and computer vision. In this proposal, we first review the background knowledge for emotion analytics using 3D morphable face model, including geometry feature-based methods, statistic model-based methods and more advanced deep learning-bade methods. Then, we introduce a novel 3D face modeling and reconstruction solution that robustly and accurately acquires 3D face models from a couple of images captured by a single smartphone camera. Two selfie photos of a subject taken from the front and side are used to guide our Non-Negative Matrix Factorization (NMF) induced part-based face model to iteratively reconstruct an initial 3D face of the subject. Then, an iterative detail updating method is applied to the initial generated 3D face to reconstruct facial details through optimizing lighting parameters and local depths. Our iterative 3D face reconstruction method permits fully automatic registration of a part-based face representation to the acquired face data and the detailed 2D/3D features to build a high-quality 3D face model. The NMF part-based face representation learned from a 3D face database facilitates effective global and adaptive local detail data fitting alternatively. Our system is flexible and it allows users to conduct the capture in any uncontrolled environment. We demonstrate the capability of our method by allowing users to capture and reconstruct their 3D faces by themselves. Based on the 3D face model reconstruction, we can analyze the facial expression and the related emotion in 3D space. We present a novel approach to analyze the facial expressions from images and a quantitative information visualization scheme for exploring this type of visual data.

Download or read book Analysis and Modelling of Faces and Gestures written by Shaogang Gong and published by Taylor & Francis. This book was released on 2005-10-04 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Analysis and Modelling of Faces and Gestures, AMFG 2005, held in Beijing, China in October 2005 within the scope of ICCV 2005, the International Conference on Computer Vision. The 30 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 90 submissions. The papers give a survey of the status of recognition, analysis and modeling of face and gesture. The topics of these papers range from feature representation, robust recognition, learning, 3D modeling, to psychology.

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 Low level Fusion and Deformation Modeling for Textured 3D Face Biometrics written by Faisal Radhi M. Al-Osaimi and published by . This book was released on 2009 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: [Truncated abstract] Automatic face recognition has many crucial applications in a range of domains including human-machine interaction and security. The non-intrusive nature of face recognition is a key reason behind its suitability to such a broad range of applications. However, often these applications require high recognition accuracies and robustness which are challenging to achieve due to variations. Variations in pose, facial expression and illumination conditions may obscure the essential visual and/or geometric cues for recognition. The ability of a face recognition system to represent and match faces such that the utilized descriptive cues outweigh the associated variations is a key factor in enhancing its accuracy and robustness. This thesis presents novel algorithms that strive to achieve this goal by combining the descriptive cues in textured 3D facial scans at lower levels (data and feature fusion levels) and/or modeling the facial expression and illumination variations. An approach for combining fields of weak local and global geometrical cues (computed for each scan vertex) at the feature level was devised and used for compact representation and matching of 3D faces. The extracted fields are independent of the coordinate system in which the scan vertices were defined and hence the representation is tolerant to minor pose variations. The combined representation has demonstrated considerably high descriptiveness. In another presented approach, only local regions around key-points on the facial scans were considered. Heuristic measures for the descriptiveness of 3D local regions were defined and used for robust matching. The matching enforces consistent 3D rigid transformations and global structures among matched scans but on the other hand it allows for few mismatches among the local regions. Hence, it avoids the effects of deformed regions on matching. While the above strategies of combining information with and without the avoidance of the deformed regions gave a high recognition performance for scans under neutral expressions (minor deformations), the reported variation modeling approaches have shown higher recognition accuracies for faces with neutral or nonneutral expressions. The thesis also demonstrates that low level multimodal fusion in conjunction with variation modeling gives a higher performance than unimodal recognition and higher level fusion. Another contribution of this thesis is a novel approach for learning and morphing 3D expression deformations of 3D facial scans to those of target scans. This neutralizes the effects of expression variations among matched scans. In an extension of this approach, unseen facial scans under any facial expression were decomposed into estimates of neutral 3D faces and deformation residues. This is a very challenging problem due to the lack of the target scan. The estimated neutral faces and the deformations residues were used for face recognition and expression classification, respectively. The thesis also presents a novel approach for illumination normalization of the facial texture in textured scans...

Download or read book 3d Facial Feature Extraction and Recognition written by Sokyna Al-Qatawneh and published by LAP Lambert Academic Publishing. This book was released on 2012-05 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently with the development of more affordable 3D acquisition systems and the availability of 3D face databases, 3D face recognition has been attracting interest to tackle the limitations in performance of most existing 2D systems. In this research, we introduce a robust automated 3D Face recognition system that implements 3D data of faces with different facial expressions, hair, shoulders, clothing, etc., extracts features for discrimination and uses machine learning techniques to make the final decision. A novel system for automatic processing for 3D facial data has been implemented using multi stage architecture; in a pre-processing and registration stage the data was standardized, spikes were removed, holes were filled and the face area was extracted. Then the nose region, which is relatively more rigid than other facial regions in an anatomical sense, was automatically located and analysed by computing the precise location of the symmetry plane. Then useful facial features and a set of effective 3D curves were extracted. Finally, the recognition and matching stage was implemented by using CCNN and SVM for classification, and the KNN algorithms for matching.