Download or read book Statistical Modeling of Facial Aging Based on 3D Scans written by Pascal Paysan and published by . This book was released on 2010 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Pattern Recognition written by Xiaoyi Jiang and published by Springer. This book was released on 2014-10-14 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 36th German Conference on Pattern Recognition, GCPR 2014, held in Münster, Germany, in September 2014. The 58 revised full papers and 8 short papers were carefully reviewed and selected from 153 submissions. The papers are organized in topical sections on variational models for depth and flow, reconstruction, bio-informatics, deep learning and segmentation, feature computation, video interpretation, segmentation and labeling, image processing and analysis, human pose and people tracking, interpolation and inpainting.
Download or read book Computer Vision ECCV 2022 written by Shai Avidan and published by Springer Nature. This book was released on 2022-11-10 with total page 811 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 Automated Face Analysis Emerging Technologies and Research written by Kim, Daijin and published by IGI Global. This book was released on 2009-03-31 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides related theoretical background to understand the overall configuration and challenging problem of automated face analysis systems"--Provided by publisher.
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 Deep Learning Based Face Analytics written by Nalini K Ratha and published by Springer Nature. This book was released on 2021-08-16 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of different deep learning-based methods for face recognition and related problems. Specifically, the authors present methods based on autoencoders, restricted Boltzmann machines, and deep convolutional neural networks for face detection, localization, tracking, recognition, etc. The authors also discuss merits and drawbacks of available approaches and identifies promising avenues of research in this rapidly evolving field. Even though there have been a number of different approaches proposed in the literature for face recognition based on deep learning methods, there is not a single book available in the literature that gives a complete overview of these methods. The proposed book captures the state of the art in face recognition using various deep learning methods, and it covers a variety of different topics related to face recognition. This book is aimed at graduate students studying electrical engineering and/or computer science. Biometrics is a course that is widely offered at both undergraduate and graduate levels at many institutions around the world: This book can be used as a textbook for teaching topics related to face recognition. In addition, the work is beneficial to practitioners in industry who are working on biometrics-related problems. The prerequisites for optimal use are the basic knowledge of pattern recognition, machine learning, probability theory, and linear algebra.
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 Handbook of Face Recognition written by Stan Z. Li and published by Springer Science & Business Media. This book was released on 2011-08-22 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems; provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications; contains numerous step-by-step algorithms; describes a broad range of applications; presents contributions from an international selection of experts; integrates numerous supporting graphs, tables, charts, and performance data.
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 Synthesis of Facial Ageing Transforms Using Three dimensional Morphable Models written by David W. Hunter and published by . This book was released on 2009 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Photometric 3D Reconstruction written by Jean-Denis Durou and published by Springer Nature. This book was released on 2020-09-16 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest advances in photometric 3D reconstruction. It provides the reader with an overview of the state of the art in the field, and of the latest research into both the theoretical foundations of photometric 3D reconstruction and its practical application in several fields (including security, medicine, cultural heritage and archiving, and engineering). These techniques play a crucial role within such emerging technologies as 3D printing, since they permit the direct conversion of an image into a solid object. The book covers both theoretical analysis and real-world applications, highlighting the importance of deepening interdisciplinary skills, and as such will be of interest to both academic researchers and practitioners from the computer vision and mathematical 3D modeling communities, as well as engineers involved in 3D printing. No prior background is required beyond a general knowledge of classical computer vision models, numerical methods for optimization, and partial differential equations.
Download or read book Remodeling Forensic Skeletal Age written by Bridget F.B. Algee‐Hewitt and published by Academic Press. This book was released on 2021-04-22 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remodeling Forensic Skeletal Age: Modern Applications and New Research Directions presents a comprehensive understanding of the analytical frameworks and conceptual approaches surrounding forensic age estimation and the current state of the field. The book also includes a series of recommendations of best practice through chapter-examples that offer theory and guidance for data acquisition, technique and/or model development, and the assessment of impact of the adopted approaches. Written by leading, international experts, the book's contributors provide an introduction, conceptual understanding and taxonomy of statistical frameworks and computational approaches, including the Bayesian paradigm and machine learning techniques for age estimation. - Discusses core concepts in age estimation, along with key terminologies - Presents tactics on how readers can generate sound models that can be translated into forensic reports and expert testimony - Provides a step-wise approach and best practice recommendations for data acquisition, considerations in sampling, exploratory data analysis, visualization, and sources of error for appropriate and reproducible research design - Includes examples, theory and guidance on how to develop models for age estimation and reviews the impact of population-specific and universal approaches
Download or read book Statistical Computing on Manifolds for 3D Face Analysis and Recognition written by Hassen Drira and published by . This book was released on 2011 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic face recognition has many benefits over other biometric technologies due to the natural, non-intrusive, and high throughput nature of face data acquisition. Thus, the techniques for face recognition have received a growing attention within the computer vision community over the past three decades. In terms of a modality for face imaging, a major advantage of 3D scans over 2D color imaging is that variations in illumination and scaling have less influence on the 3D scans.However, scan data often suffer from the problem of missing parts dueto self-occlusions or imperfections in scanning technologies. Additionally, variations in face data due to facial expressions are challenging to 3D face recognition. In order to be useful in real-world applications, 3D face recognition approaches should be able to successfully recognize face scans even in the presence of large expression-based deformations and missing data due to occlusions and pose variation. Most recent research has been directed towards expression-invariant techniques and spent less effort to handle the missing parts problem. Few approaches handles the missing part problem but none has performed on a full database containing real missing data, they simulate some missing parts. We present a common framework handling both large expressions and missing parts due to large pose variation. In addition, with the same framework, we are able to average surfaces and hierarchically organize databases to allow efficient searches. In presence of occlusion, we propose to delete and restore occluded parts. The surface is first represented by radial curves (emanating from the nose tip fo the 3D face). Then a base is built using PCA for each curve. Hence, the missing part of the curve can be restored by projecting the existing part of it on the base. PCA is applied on the tangent space of the mean curve as it is linear space. Once the occlusion was detected and removed, the occlusion challenge can be handled as a missing data problem. Hence, we apply the restoration framework and then apply our radial-curve-based 3D face recognition algorithm.
Download or read book The SAGE Handbook of Social Cognition written by Susan T Fiske and published by SAGE. This book was released on 2012-03-05 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: The SAGE Handbook of Social Cognition is a landmark volume. Edited by two of the field′s most eminent academics and supported by a distinguished global advisory board, the 56 authors - each an expert in their own chapter topic - provide authoritative and thought-provoking overviews of this fascinating territory of research. Not since the early 1990s has a Handbook been published in this field, now, Fiske and Macrae have provided a timely and seminal benchmark; a state of the art overview that will benefit advanced students and academics not just within social psychology but beyond these borders too. Following an introductory look at the ′uniqueness of social cognition′, the Handbook goes on to explore basic and underlying processes of social cognition, from implicit social cognition and consciousness and meta-cognition to judgment and decision-making. Also, the wide-ranging applications of social cognition research in ′the real world′ from the burgeoning and relatively recent fields of social cognitive development and social cognitive aging to the social cognition of relationships are investigated. Finally, there is a critical and exciting exploration of the future directions in this field. The SAGE Handbook of Social Cognition will be an indispensable volume for any advanced student or academic wanting or needing to understand the landscape of social cognition research in the 21st century.
Download or read book Neural Networks and Statistical Learning written by Ke-Lin Du and published by Springer Nature. This book was released on 2019-09-12 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing. Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include: • multilayer perceptron; • the Hopfield network; • associative memory models;• clustering models and algorithms; • t he radial basis function network; • recurrent neural networks; • nonnegative matrix factorization; • independent component analysis; •probabilistic and Bayesian networks; and • fuzzy sets and logic. Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.
Download or read book Forensic Anthropology written by Sue Black and published by CRC Press. This book was released on 2011-02-07 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in our ability to analyse information from skeletal remains and subsequent developments in the field of forensic anthropology make it possible to identify more victims of homicides, mass-fatality disasters, and genocide. Summarizing the vast collection of international literature that has developed over the past decade, this volume explores critical themes fundamental to this evolving discipline. Topics discussed include age determination in juveniles and adults; sex, race, and ancestry determination; stature determination; dental and facial identification; skeletal trauma and bone pathology; taphonomy and comparative osteology; and identification from soft tissues.
Download or read book Statistical Atlases and Computational Models of the Heart Regular and CMRxMotion Challenge Papers written by Oscar Camara and published by Springer Nature. This book was released on 2023-01-27 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 13th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2022, held in conjunction with the 25th MICCAI conference. The 34 regular workshop papers included in this volume were carefully reviewed and selected after being revised and deal with topics such as: common cardiac segmentation and modelling problems to more advanced generative modelling for ageing hearts, learning cardiac motion using biomechanical networks, physics-informed neural networks for left atrial appendage occlusion, biventricular mechanics for Tetralogy of Fallot, ventricular arrhythmia prediction by using graph convolutional network, and deeper analysis of racial and sex biases from machine learning-based cardiac segmentation. In addition, 14 papers from the CMRxMotion challenge are included in the proceedings which aim to assess the effects of respiratory motion on cardiac MRI (CMR) imaging quality and examine the robustness of segmentation models in face of respiratory motion artefacts. A total of 48 submissions to the workshop was received.
