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An Accurate And Efficient Method For Reconstruction Of 3d Faces From Stereo Images
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Book Synopsis An Accurate and Efficient Method for Reconstruction of 3D Faces from Stereo Images by : Vuong V. Le
Download or read book An Accurate and Efficient Method for Reconstruction of 3D Faces from Stereo Images written by Vuong V. Le and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, we introduce a novel algorithm for reconstructing the 3D shape and texture model of human faces from two stereo images which are captured from calibrated cameras. Our approach works in a sparse to dense manner: we first build a coarse shape estimation based on 3D keypoints, and then use a linear morphable model to efficiently match the detailed shape and texture. The features used for the fitting processes are selected with the guidance of the quantitative evaluation of a state-of-the-art reconstruction algorithm. In our new direct evaluation method, the reconstructed 3D faces are first aligned to the ground truth and then the shape difference between the two 3D faces is described by signal-to-noise ratio and error maps illustrating the reconstruction errors on corresponding vertices. This local error information will be used to resample the reference frame whose vertices' coordinates stack up to be the feature vectors for face fitting. Compared with the previous works, our algorithm can reconstruct the 3D face shape at a speed comparable with that of the fastest algorithm available, but gives a higher accuracy. It can also recover the more complete and realistic looking texture. Our results show that the new algorithm possesses significant characteristics of a 3D face model reconstruction system, and is especially useful for face recognition and animation applications in practice.
Download or read book Rough Sets written by Lech Polkowski and published by Springer. This book was released on 2017-06-22 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNAI 10313 and LNAI 10314 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2017, held in Olsztyn, Poland, in July 2017. The 74 revised full papers presented together with 16 short papers and 16 invited talks, were carefully reviewed and selected from 130 submissions. The papers in this two set-volume of IJCRS 2017 follow the track already rutted by RSCTC and JRS conferences which aimed at unification of many facets of rough set theory from theoretical aspects of the rough set idea bordering on theory of concepts and going through algebraic structures, topological structures, logics for uncertain reasoning, decision algorithms, relations to other theories of vagueness and ambiguity, then to extensions of the rough set idea like granular structures, rough mereology, and to applications of the idea in diverse fields of applied science including hybrid methods like rough-fuzzy, neuro-rough, neuro-rough-fuzzy computing. IJCRS 2017 encompasses topics spread among four main tracks: Rough Sets and Data Science (in relation to RSCTC series organized since 1998); Rough Sets and Granular Computing (in relation to RSFDGrC series organized since 1999); Rough Sets and Knowledge Technology (in relation to RSKT series organized since 2006); and Rough Sets and Intelligent Systems (in relation to RSEISP series organized since 2007).
Book Synopsis Computer-Graphic Facial Reconstruction by : John G. Clement
Download or read book Computer-Graphic Facial Reconstruction written by John G. Clement and published by Elsevier. This book was released on 2005-07-02 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique books looks at a cost-efficient, fast and accurate means of facial reconstruction--from segmented, decomposed, or skeletal remains--using computer-graphic and computational means. Computer-Graphic Facial Reconstruction is designed as a valuable resource for those scientists designing new research projects and protocols, as well as a practical handbook of methods and techniques for medico-legal practitioners who actually identify the faceless victims of crime. It looks at a variety of approaches: artificial intelligence using neural networks, case-based reasoning, Baysian belief systems, along with a variety of imaging methods: radiological, CT, MRI and the use of imaging devices. The methods described in this book complement, or may even replace, the less-reliable, more traditional means of securing identification by presumptive means, i.e., recognition of clothing, personal effects and clay reconstruction. - Covers cutting-edge technologies in the context of historical forensic reconstruction methods - Features stellar authors from around the globe - Bridges the areas of computer graphics, animation, and forensic anthropology
Book Synopsis Computer Vision by : Roberto Cipolla
Download or read book Computer Vision written by Roberto Cipolla and published by Springer. This book was released on 2010-04-06 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems. The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year. A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during the first two editions of the school on topics such as Recognition, Registration and Reconstruction. The chapters provide an in-depth overview of these challenging areas with key references to the existing literature.
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:
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:
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
Book Synopsis Recent Advances in 3D Imaging, Modeling, and Reconstruction by : Voulodimos, Athanasios
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.
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.
Book Synopsis 3D Computer Vision by : Christian Wöhler
Download or read book 3D Computer Vision written by Christian Wöhler and published by Springer Science & Business Media. This book was released on 2012-07-23 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field. Fully revised and updated, this much-anticipated new edition reviews a range of triangulation-based methods, including linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and flexible objects. Also covered are intensity-based techniques that evaluate the pixel grey values in the image to infer three-dimensional scene structure, and point spread function based approaches that exploit the effect of the optical system. The text shows how methods which integrate these concepts are able to increase reconstruction accuracy and robustness, describing applications in industrial quality inspection and metrology, human-robot interaction, and remote sensing.
Book Synopsis Efficient Methods for 3D Reconstruction from Multiple Images by : Carlos Wai Yin Leung
Download or read book Efficient Methods for 3D Reconstruction from Multiple Images written by Carlos Wai Yin Leung and published by . This book was released on 2006 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Improving the Accuracy of 3-D Reconstruction in Robotic Vision Applications by : Yuanzheng Gong
Download or read book Improving the Accuracy of 3-D Reconstruction in Robotic Vision Applications written by Yuanzheng Gong and published by . This book was released on 2016 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Three-dimensional (3D) surface reconstruction is a process for retrieving the 3D shape and appearance of real objects or scenes. The generated 3D point clouds can be used in many fields, including entertainment, measurement, design, reverse engineering, homeland security and {\it etc}. Over the past decades, 3D reconstruction has been widely used in clinical diagnosis and surgical treatment of diseases, such as X-ray, ultrasound, computed tomography (CT) and magnetic resonance imaging (MRI). However, all of these technologies are radiography-based volumetric 3D reconstruction instead of 3D surface reconstruction. With the growing need of tissue texture information for clinical purposes, the 3D reconstruction based on endoscopic images plays a more vital role than ever, especially in tumor diagnosis and surveillance of esophagus, lung, stomach, bladder and etc. In this work, new algorithms were developed to solve specific 3D reconstruction problems in biomedical applications. To reconstruct the 3D internal surface of a human organ, such as bladder or stomach, a sequence of 2D endoscopic images were captured by rotating and moving the scope around inside of the organs. This 3D reconstruction solely based on images is called Structure-from-Motion (SfM). To overcome the problems of insufficient features in medical images and short camera baselines, the camera poses were initially estimated by constraining the surface on a spherical shape at the first step. The more realistic organ surface was then reconstructed by releasing the spherical constraints. Extra features were built to handle multiple scanning videos and recover the physical scale of the 3D surface with reference lesion target. To reduce the human error and surgical operating time in removing the tumor/cancer in brain, a semi-automated surgical robotic system with 3D vision is being developed. By providing an accurate 3D surface model of the surgical field based on a RGB (red, green and blue) camera attached to the surgical tool, the robot could perform tedious operation of residual tumor tissue removal automatically. Camera position and orientation were also known throughout the surgery from the robotic system. This 3D reconstruction with known camera parameters is called Multi-view Stereo. Due to the mechanical limitation of robotic system, the camera pose parameters were with certain errors (tolerance). To utilize these inaccurate but bound constrained variables, Bound Constrained Bundle Adjustment (BCBA) algorithm was developed based on gradient projection to generate accurate 3D model efficiently. Besides biomedical applications, 3D computer vision is emerging in traditional industries, such as manufacture and quality control applications. To build a potential in-line 3D metrology tool for internal threads in automobile engine blocks, two 3D reconstruction algorithms were developed with forward-view and side-view cameras, respectively. Axial-stereo vision algorithm was proposed to create dense 3D point cloud of internal surface based on two forward-view images that are aligned on the optical axis. Feature-based panoramic 3D registration algorithm was developed to register different side-view image-generated 3D surface patches together, by taking advantage of the robustness and accuracy of SIFT features. Each side-view patch of the repeated geometry of a threaded hole was reconstructed by multi-view stereo. Comparing with traditional 3D point clouds registration algorithm Iterative Closest Point (ICP), our algorithm has the advantages of high-efficiency and high-accuracy, especially for the registration of repetitive geometries.
Book Synopsis Deformable Surface 3D Reconstruction from Monocular Images by : Amit Roy-Chowdhury
Download or read book Deformable Surface 3D Reconstruction from Monocular Images written by Amit Roy-Chowdhury and published by Springer Nature. This book was released on 2022-05-31 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Being able to recover the shape of 3D deformable surfaces from a single video stream would make it possible to field reconstruction systems that run on widely available hardware without requiring specialized devices. However, because many different 3D shapes can have virtually the same projection, such monocular shape recovery is inherently ambiguous. In this survey, we will review the two main classes of techniques that have proved most effective so far: The template-based methods that rely on establishing correspondences with a reference image in which the shape is already known, and non-rigid structure-from-motion techniques that exploit points tracked across the sequences to reconstruct a completely unknown shape. In both cases, we will formalize the approach, discuss its inherent ambiguities, and present the practical solutions that have been proposed to resolve them. To conclude, we will suggest directions for future research. Table of Contents: Introduction / Early Approaches to Non-Rigid Reconstruction / Formalizing Template-Based Reconstruction / Performing Template-Based Reconstruction / Formalizing Non-Rigid Structure from Motion / Performing Non-Rigid Structure from Motion / Future Directions
Book Synopsis Representations and Techniques for 3D Object Recognition and Scene Interpretation by : Derek Hoiem
Download or read book Representations and Techniques for 3D Object Recognition and Scene Interpretation written by Derek Hoiem and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning. The book is organized into three sections: (1) Interpretation of Physical Space; (2) Recognition of 3D Objects; and (3) Integrated 3D Scene Interpretation. The first discusses representations of spatial layout and techniques to interpret physical scenes from images. The second section introduces representations for 3D object categories that account for the intrinsically 3D nature of objects and provide robustness to change in viewpoints. The third section discusses strategies to unite inference of scene geometry and object pose and identity into a coherent scene interpretation. Each section broadly surveys important ideas from cognitive science and artificial intelligence research, organizes and discusses key concepts and techniques from recent work in computer vision, and describes a few sample approaches in detail. Newcomers to computer vision will benefit from introductions to basic concepts, such as single-view geometry and image classification, while experts and novices alike may find inspiration from the book's organization and discussion of the most recent ideas in 3D scene understanding and 3D object recognition. Specific topics include: mathematics of perspective geometry; visual elements of the physical scene, structural 3D scene representations; techniques and features for image and region categorization; historical perspective, computational models, and datasets and machine learning techniques for 3D object recognition; inferences of geometrical attributes of objects, such as size and pose; and probabilistic and feature-passing approaches for contextual reasoning about 3D objects and scenes. Table of Contents: Background on 3D Scene Models / Single-view Geometry / Modeling the Physical Scene / Categorizing Images and Regions / Examples of 3D Scene Interpretation / Background on 3D Recognition / Modeling 3D Objects / Recognizing and Understanding 3D Objects / Examples of 2D 1/2 Layout Models / Reasoning about Objects and Scenes / Cascades of Classifiers / Conclusion and Future Directions
Book Synopsis Accurate, Efficient, and Robust 3D Reconstruction of Static and Dynamic Objects by : Kyoung-Rok Lee
Download or read book Accurate, Efficient, and Robust 3D Reconstruction of Static and Dynamic Objects written by Kyoung-Rok Lee and published by . This book was released on 2014 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D reconstruction is the method of creating the shape and appearance of a real scene or objects, given a set of images on the scene. Realistic scene or object reconstruction is essential in many applications such as robotics, computer graphics, Tele- Immersion (TI), and Augmented Reality (AR). This thesis explores accurate, efficient, and robust methods for the 3D reconstruction of static and dynamic objects from RGB-D images. For accurate 3D reconstruction, the depth maps should have high geometric quality and resolution. However, depth maps are often captured at low-quality or low resolution, due to either sensor hardware limitations or errors in estimation. A new sampling-based robust multi-lateral filtering method is proposed herein to improve the resolution and quality of depth data. The enhancement is achieved by selecting reliable depth samples from a neighborhood of pixels and applying multi-lateral filtering using colored images that are both high-quality and high-resolution. Camera pose estimation is one of the most important operations in 3D reconstruction, since any minor error in this process may distort the resulting reconstruction. We present a robust method for camera tracking and surface mapping using a handheld RGB-D camera, which is effective for challenging situations such as during fast camera motion or in geometrically featureless scenes. This is based on the quaternion-based orientation estimation method for initial sparse estimation and a weighted Iterative Closest Point (ICP) method for dense estimation to achieve a better rate of convergence for both the optimization and accuracy of the resulting trajectory. We present a novel approach for the reconstruction of static object/scene with realistic surface geometry using a handheld RGB-D camera. To obtain high-resolution RGB images, an additional HD camera is attached to the top of a Kinect and is calibrated to reconstruct a 3D model with realistic surface geometry and high-quality color textures. We extend our depth map refinement method by utilizing high frequency information in color images to recover finer-scale surface geometry. In addition, we use our robust camera pose estimation to estimate the orientation of the camera in the global coordinate system accurately. For the reconstruction of moving objects, a novel dynamic scene reconstruction system using multiple commodity depth cameras is proposed. Instead of using expensive multi-view scene capturing setups, our system only requires four Kinects, which are carefully located to generate full 3D surface models of objects. We introduce a novel depth synthesis method for point cloud densification and noise removal in the depth data. In addition, a new weighting function is presented to overcome the drawbacks of the existing volumetric representation method.
Book Synopsis 3D Reconstruction and Tracking of Human Faces from a Stereo Image Sequence by : Mohammad Shafikul Huq
Download or read book 3D Reconstruction and Tracking of Human Faces from a Stereo Image Sequence written by Mohammad Shafikul Huq and published by . This book was released on 2001 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Introduction to 3D Computer Vision Techniques and Algorithms by : Boguslaw Cyganek
Download or read book An Introduction to 3D Computer Vision Techniques and Algorithms written by Boguslaw Cyganek and published by John Wiley & Sons. This book was released on 2011-08-10 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. However using algorithms, it is possible to take a collection of stereo-pair images of a scene and then automatically produce a photo-realistic, geometrically accurate digital 3D model. This book provides a comprehensive introduction to the methods, theories and algorithms of 3D computer vision. Almost every theoretical issue is underpinned with practical implementation or a working algorithm using pseudo-code and complete code written in C++ and MatLab®. There is the additional clarification of an accompanying website with downloadable software, case studies and exercises. Organised in three parts, Cyganek and Siebert give a brief history of vision research, and subsequently: present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms; explain scale-space vision, as well as space reconstruction and multiview integration; demonstrate a variety of practical applications for 3D surface imaging and analysis; provide concise appendices on topics such as the basics of projective geometry and tensor calculus for image processing, distortion and noise in images plus image warping procedures. An Introduction to 3D Computer Vision Algorithms and Techniques is a valuable reference for practitioners and programmers working in 3D computer vision, image processing and analysis as well as computer visualisation. It would also be of interest to advanced students and researchers in the fields of engineering, computer science, clinical photography, robotics, graphics and mathematics.
