3d Face Reconstruction And Emotion Analytics With Part Based Morphable Models

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3D Face Reconstruction and Emotion Analytics with Part-based Morphable Models

Author : Hai Jin
Publisher :
ISBN 13 :
Total Pages : 111 pages
Book Rating : 4.:/5 (17 download)

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Book Synopsis 3D Face Reconstruction and Emotion Analytics with Part-based Morphable Models by : Hai Jin

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.

3D Face Modeling, Analysis and Recognition

Author : Mohamed Daoudi
Publisher : John Wiley & Sons
ISBN 13 : 1118592638
Total Pages : 219 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis 3D Face Modeling, Analysis and Recognition by : Mohamed Daoudi

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

Synthesis and Analysis of Human Faces Using Multi-view, Multi-illumination Image Ensembles

Author : Jinho Lee
Publisher :
ISBN 13 :
Total Pages : 120 pages
Book Rating : 4.:/5 (694 download)

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Book Synopsis Synthesis and Analysis of Human Faces Using Multi-view, Multi-illumination Image Ensembles by : Jinho Lee

Download or read book Synthesis and Analysis of Human Faces Using Multi-view, Multi-illumination Image Ensembles written by Jinho Lee and published by . This book was released on 2005 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Synthesis of realistic human faces is still one of the biggest challenges in computer graphics. Similarly, analysis of human faces in images has been a traditional topic of research in computer vision. Both research areas related to human faces have many practical applications including face modeling, face tracking, face relighting, and face recognition in diverse industry fields such as games, virtual reality, digital photography, biometrics and security. In this dissertation we explore the problem of model-based 3D face synthesis and analysis using various kind of image ensembles including multi-view image silhouettes, sequential video frames, and single photographs. We design and develop various image-model difference metrics that can be used in an optimization framework to recover the optimal model parameters of our 3D face model from the input images. In the first part of this dissertation we present a novel method for 3D face reconstruction from a set or sequence of 2D binary silhouettes. Experiments with a multi-camera rig as well as monocular video sequences demonstrate the advantages of our 3D modeling framework. In order to determine the set of optimal views required for silhouette-based shape reconstruction, we build on our modeling framework and extend it by aggressive pruning of the view-sphere with view clustering and various imaging constraints. In the second part of this dissertation we present a novel framework that acquires the 3D shape, texture, pose and illumination of a face from a single photograph. Using a custom-built face scanning system which is equipped with 16 digital cameras and 146 directional LED light sources, a large-scale dataset was collected, which consists of 3D face scans and light reflection images of a diverse group of human subjects. From this dataset, we derive a novel measurement-based illumination model that implicitly incorporates cast-shadows and specularities. We also propose a novel fitting framework that estimates the parameters of the morphable model by minimizing the distance of the input image to the dynamically changing illumination subspace. We leverage our modeling and fitting methods to solve two challenging problems in computer graphics and computer vision - face relighting and face recognition.

Face Recognition and Growth Prediction Using a 3D Morphable Face Model

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (697 download)

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Book Synopsis Face Recognition and Growth Prediction Using a 3D Morphable Face Model by :

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.

Analysis and Modeling of Faces and Gestures

Author : S. Kevin Zhou
Publisher : Springer
ISBN 13 : 3540756906
Total Pages : 314 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Analysis and Modeling of Faces and Gestures by : S. Kevin Zhou

Download or read book Analysis and Modeling of Faces and Gestures written by S. Kevin Zhou and published by Springer. This book was released on 2007-11-04 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Workshop on Analysis and Modelling of Faces and Gestures, AMFG 2007, held within the scope of ICCV 2007, the International Conference on Computer Vision. The papers review the status of recognition, analysis and modeling of face, gesture, activity, and behavior. Topics addressed include feature representation, 3D face, video-based face recognition, facial motion analysis, and sign recognition.

Using 3D Morphable Models for 3D Photo-realistic Personalized Avatars and 2D Face Recognition

Author : Dianle Zhou
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Using 3D Morphable Models for 3D Photo-realistic Personalized Avatars and 2D Face Recognition by : Dianle Zhou

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.

Using 3D Morphable Models for 3D Avatars and 2D Face Recognition

Author : Dianle Zhou
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659532436
Total Pages : 148 pages
Book Rating : 4.5/5 (324 download)

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Book Synopsis Using 3D Morphable Models for 3D Avatars and 2D Face Recognition by : Dianle Zhou

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.

3D Face Analysis

Author : Zhao, Xi
Publisher :
ISBN 13 :
Total Pages : 185 pages
Book Rating : 4.:/5 (758 download)

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Book Synopsis 3D Face Analysis by : Zhao, Xi

Download or read book 3D Face Analysis written by Zhao, Xi and published by . This book was released on 2010 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Ph.D thesis work is dedicated to automatic facial analysis in 3D, including facial landmarking and facial expression recognition. Indeed, facial expression plays an important role both in verbal and non verbal communication, and in expressing emotions. Thus, automatic facial expression recognition has various purposes and applications and particularly is at the heart of "intelligent" human-centered human/computer(robot) interfaces. Meanwhile, automatic landmarking provides aprior knowledge on location of face landmarks, which is required by many face analysis methods such as face segmentation and feature extraction used for instance for expression recognition. The purpose of this thesis is thus to elaborate 3D landmarking and facial expression recognition approaches for finally proposing an automatic facial activity (facial expression and action unit) recognition solution.In this work, we have proposed a Bayesian Belief Network (BBN) for recognizing facial activities, such as facial expressions and facial action units. A StatisticalFacial feAture Model (SFAM) has also been designed to first automatically locateface landmarks so that a fully automatic facial expression recognition system can be formed by combining the SFAM and the BBN. The key contributions are the followings. First, we have proposed to build a morphable partial face model, named SFAM, based on Principle Component Analysis. This model allows to learn boththe global variations in face landmark configuration and the local ones in terms of texture and local geometry around each landmark. Various partial face instances can be generated from SFAM by varying model parameters. Secondly, we have developed a landmarking algorithm based on the minimization an objective function describing the correlation between model instances and query faces. Thirdly, we have designed a Bayesian Belief Network with a structure describing the casual relationships among subjects, expressions and facial features. Facial expression oraction units are modelled as the states of the expression node and are recognized by identifying the maximum of beliefs of all states. We have also proposed a novel method for BBN parameter inference using a statistical feature model that can beconsidered as an extension of SFAM. Finally, in order to enrich information usedfor 3D face analysis, and particularly 3D facial expression recognition, we have also elaborated a 3D face feature, named SGAND, to characterize the geometry property of a point on 3D face mesh using its surrounding points.The effectiveness of all these methods has been evaluated on FRGC, BU3DFEand Bosphorus datasets for facial landmarking as well as BU3DFE and Bosphorus datasets for facial activity (expression and action unit) recognition.

Component-based Face Recognition with 3D Morphable Models

Author : Jennifer Huang
Publisher :
ISBN 13 :
Total Pages : 38 pages
Book Rating : 4.:/5 (534 download)

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Book Synopsis Component-based Face Recognition with 3D Morphable Models by : Jennifer Huang

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:

Reconstruction and Analysis of 3D Individualized Facial Expressions

Author : Jing Wang
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Reconstruction and Analysis of 3D Individualized Facial Expressions by : Jing Wang

Download or read book Reconstruction and Analysis of 3D Individualized Facial Expressions written by Jing Wang and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Face Analysis Using 3D Morphable Models

Author : Guosheng Hu
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (16 download)

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Book Synopsis Face Analysis Using 3D Morphable Models by : Guosheng Hu

Download or read book Face Analysis Using 3D Morphable Models written by Guosheng Hu and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Three Dimensional Human Face Reconstruction and Expression Modelling

Author : Alexander Mark Woodward
Publisher :
ISBN 13 :
Total Pages : 207 pages
Book Rating : 4.:/5 (436 download)

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Book Synopsis Three Dimensional Human Face Reconstruction and Expression Modelling by : Alexander Mark Woodward

Download or read book Three Dimensional Human Face Reconstruction and Expression Modelling written by Alexander Mark Woodward and published by . This book was released on 2009 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Analysis of 3D Face Reconstruction

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (93 download)

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Book Synopsis Analysis of 3D Face Reconstruction by :

Download or read book Analysis of 3D Face Reconstruction written by and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

3-D Face Modeling from a 2-D Image with Shape and Head Pose Estimation

Author : Ralph Oyini Mbouna
Publisher :
ISBN 13 :
Total Pages : 106 pages
Book Rating : 4.:/5 (128 download)

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Book Synopsis 3-D Face Modeling from a 2-D Image with Shape and Head Pose Estimation by : Ralph Oyini Mbouna

Download or read book 3-D Face Modeling from a 2-D Image with Shape and Head Pose Estimation written by Ralph Oyini Mbouna and published by . This book was released on 2014 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper presents 3-D face modeling with head pose and depth information estimated from a 2-D query face image. Many recent approaches to 3-D face modeling are based on a 3-D morphable model that separately encodes the shape and texture in a parameterized model. The model parameters are often obtained by applying statistical analysis to a set of scanned 3-D faces. Such approaches tend to depend on the number and quality of scanned 3-D faces, which are difficult to obtain and computationally intensive. To overcome the limitations of 3-D morphable models, several modeling techniques from 2-D images have been proposed. We propose a novel framework for depth estimation from a single 2-D image with an arbitrary pose. The proposed scheme uses a set of facial features in a query face image and a reference 3-D face model to estimate the head pose angles of the face. The depth information of the subject at each feature point is represented by the depth information of the reference 3-D face model multiplied by a vector of scale factors. We use the positions of a set of facial feature points on the query 2-D image to deform the reference face dense model into a person specific 3-D face by minimizing an objective function. The objective function is defined as the feature disparity between the facial features in the face image and the corresponding 3-D facial features on the rotated reference model projected onto 2-D space. The pose and depth parameters are iteratively refined until stopping criteria are reached. The proposed method requires only a face image of arbitrary pose for the reconstruction of the corresponding 3-D face dense model with texture. Experiment results with USF Human-ID and Pointing'04 databases show that the proposed approach is effective to estimate depth and head pose information with a single 2-D image.

The Oxford Handbook of Affective Computing

Author : Rafael A. Calvo
Publisher : Oxford Library of Psychology
ISBN 13 : 0199942234
Total Pages : 625 pages
Book Rating : 4.1/5 (999 download)

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Book Synopsis The Oxford Handbook of Affective Computing by : Rafael A. Calvo

Download or read book The Oxford Handbook of Affective Computing written by Rafael A. Calvo and published by Oxford Library of Psychology. This book was released on 2015 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Oxford Handbook of Affective Computing is a definitive reference in the burgeoning field of affective computing (AC), a multidisciplinary field encompassing computer science, engineering, psychology, education, neuroscience, and other disciplines. AC research explores how affective factors influence interactions between humans and technology, how affect sensing and affect generation techniques can inform our understanding of human affect, and on the design, implementation, and evaluation of systems involving affect at their core. The volume features 41 chapters and is divided into five sections: history and theory, detection, generation, methodologies, and applications. Section 1 begins with the making of AC and a historical review of the science of emotion. The following chapters discuss the theoretical underpinnings of AC from an interdisciplinary viewpoint. Section 2 examines affect detection or recognition, a commonly investigated area. Section 3 focuses on aspects of affect generation, including the synthesis of emotion and its expression via facial features, speech, postures, and gestures. Cultural issues are also discussed. Section 4 focuses on methodological issues in AC research, including data collection techniques, multimodal affect databases, formats for the representation of emotion, crowdsourcing techniques, machine learning approaches, affect elicitation techniques, useful AC tools, and ethical issues. Finally, Section 5 highlights applications of AC in such domains as formal and informal learning, games, robotics, virtual reality, autism research, health care, cyberpsychology, music, deception, reflective writing, and cyberpsychology. This compendium will prove suitable for use as a textbook and serve as a valuable resource for everyone with an interest in AC."--

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Author : El Bachir Boukherouaa
Publisher : International Monetary Fund
ISBN 13 : 1589063953
Total Pages : 35 pages
Book Rating : 4.5/5 (89 download)

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Book Synopsis Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by : El Bachir Boukherouaa

Download or read book Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Advances in Face Detection and Facial Image Analysis

Author : Michal Kawulok
Publisher : Springer
ISBN 13 : 331925958X
Total Pages : 438 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Advances in Face Detection and Facial Image Analysis by : Michal Kawulok

Download or read book Advances in Face Detection and Facial Image Analysis written by Michal Kawulok and published by Springer. This book was released on 2016-04-02 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art in face detection and analysis. It outlines new research directions, including in particular psychology-based facial dynamics recognition, aimed at various applications such as behavior analysis, deception detection, and diagnosis of various psychological disorders. Topics of interest include face and facial landmark detection, face recognition, facial expression and emotion analysis, facial dynamics analysis, face classification, identification, and clustering, and gaze direction and head pose estimation, as well as applications of face analysis.