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Author : Sikandar Amin
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (18 download)
Download or read book Multi-view Part-based Models for 3D Human Pose Estimation in Real-World Scenes written by Sikandar Amin and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Frank Dellaert
Publisher : Springer
ISBN 13 : 3642340911
Total Pages : 452 pages
Book Rating : 4.6/5 (423 download)
Download or read book Outdoor and Large-Scale Real-World Scene Analysis written by Frank Dellaert and published by Springer. This book was released on 2012-09-22 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 15th International Workshop on Theoretic Foundations of Computer Vision, held as a Dagstuhl Seminar in Dagstuhl Castle, Germany, in June/July 2011. The 19 revised full papers presented were carefully reviewed and selected after a blind peer-review process. The topic of this Workshop was Outdoor and Large-Scale Real-World Scene Analysis, which covers all aspects, applications and open problems regarding the performance or design of computer vision algorithms capable of working in outdoor setups and/or large-scale environments. Developing these methods is important for driver assistance, city modeling and reconstruction, virtual tourism, telepresence, and motion capture.
Author : Shaogang Gong
Publisher : Springer Science & Business Media
ISBN 13 : 144716296X
Total Pages : 446 pages
Book Rating : 4.4/5 (471 download)
Download or read book Person Re-Identification written by Shaogang Gong and published by Springer Science & Business Media. This book was released on 2014-01-03 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes; describes how to segregate meaningful body parts from background clutter; examines the use of 3D depth images and contextual constraints derived from the visual appearance of a group; reviews approaches to feature transfer function and distance metric learning and discusses potential solutions to issues of data scalability and identity inference; investigates the limitations of existing benchmark datasets, presents strategies for camera topology inference and describes techniques for improving post-rank search efficiency; explores the design rationale and implementation considerations of building a practical re-identification system.
Author : Aichun Zhu
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (965 download)
Download or read book Articulated Human Pose Estimation in Images and Video written by Aichun Zhu and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human pose estimation is a challenging problem in computer vision and shares all the difficulties of object detection. This thesis focuses on the problems of human pose estimation in still images or video, including the diversity of appearances, changes in scene illumination and confounding background clutter. To tackle these problems, we build a robust model consisting of the following components. First, the top-down and bottom-up methods are combined to estimation human pose. We extend the Pictorial Structure (PS) model to cooperate with annealed particle filter (APF) for robust multi-view pose estimation. Second, we propose an upper body based multiple mixture parts (MMP) model for human pose estimation that contains two stages. In the pre-estimation stage, there are three steps: upper body detection, model category estimation for upper body, and full model selection for pose estimation. In the estimation stage, we address the problem of a variety of human poses and activities. Finally, a Deep Convolutional Neural Network (DCNN) is introduced for human pose estimation. A Local Multi-Resolution Convolutional Neural Network (LMR-CNN) is proposed to learn the representation for each body part. Moreover, a LMR-CNN based hierarchical model is defined to meet the structural complexity of limb parts. The experimental results demonstrate the effectiveness of the proposed model.
Author : Renshu GU
Publisher :
ISBN 13 :
Total Pages : 71 pages
Book Rating : 4.:/5 (119 download)
Download or read book Towards Multi-person 3D Pose Estimation in Natural Videos written by Renshu GU and published by . This book was released on 2020 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the increasing need of analyzing human poses on the street and in the wild, multi-person 3D pose estimation using static or moving monocular camera in real-world scenarios remains a challenge, requiring large-scale training data or high computation complexity due to the high degrees of freedom in 3D human poses. To address these challenges, a novel scheme, Hierarchical 3D Human Pose Estimation (H3DHPE), is proposed to effectively track and hierarchically estimate 3D human poses in natural videos in an efficient fashion. Torso estimation is formulated as a Perspective-N-Point (PNP) problem, limb pose estimation is solved as an optimization problem, and the high dimensional pose estimation is hierarchically addressed efficiently. As an extension to Hierarchical 3D Human Pose Estimation (H3DHPE), Universal Hierarchical 3D Human Pose Estimation (UH3DHPE) is proposed to handle the case of an occluded or inaccurate 2D torso keypoints, which makes torso-first estimation in H3DHPE unreliable. An effective method to directly estimate limb poses without building upon the estimated torso pose is proposed, and the torso pose can then be further refined to form the hierarchy in a bottom-up fashion. An adaptive merging strategy is proposed to determine the best hierarchy. The advantages of the proposed unsupervised methods are validated on various datasets including a lot of natural real-world scenes. For better evaluation and future research, a unique dataset called Moving camera Multi-Human interactions (MMHuman) is collected, with accurate MoCap ground truth, for multi-person interaction scenarios recorded by a monocular moving camera. Superior performance is shown on the newly collected MMHuman compared to state-of-the-art methods, including supervised methods, proving that our unsupervised solution generalize better to natural videos. To further tackle the problem of long term occlusions, a deep neutral network (DNN) solution is explored for trajectory recovery. To our best knowledge, it’s the first to use temporal gated convolutions to recover missing poses and address the occlusion issues in the pose estimation. A simple yet effective approach is proposed to transform normalized poses to the global trajectory into the camera coordinate.
Author : Andrea Vedaldi
Publisher : Springer Nature
ISBN 13 : 3030585808
Total Pages : 830 pages
Book Rating : 4.0/5 (35 download)
Download or read book Computer Vision – ECCV 2020 written by Andrea Vedaldi and published by Springer Nature. This book was released on 2020-12-02 with total page 830 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 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.
Author : Hongbin Zha
Publisher : Springer
ISBN 13 : 3642123074
Total Pages : 418 pages
Book Rating : 4.6/5 (421 download)
Download or read book Computer Vision -- ACCV 2009 written by Hongbin Zha and published by Springer. This book was released on 2010-05-09 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: It gives us greatpleasureto presentthe proceedings of the 9th Asian Conference on Computer Vision (ACCV 2009), held in Xi’an, China, in September 2009. This was the ?rst ACCV conference to take place in mainland China. We received a total of 670 full submissions, which is a new record in the ACCV series. Overall, 35 papers were selected for oral presentation and 131 as posters, yielding acceptance rates of 5.2% for oral, 19.6% for poster, and 24.8% in total. In the paper reviewing, we continued the tradition of previous ACCVsbyconductingthe processinadouble-blindmanner.Eachofthe33Area Chairs received a pool of about 20 papers and nominated a number of potential reviewers for each paper. Then, Program Committee Chairs allocated at least three reviewers to each paper, taking into consideration any con?icts of interest and the balance of loads. Once the reviews were ?nished, the Area Chairs made summaryreportsforthepapersintheirpools,basedonthereviewers’comments and on their own assessments of the papers.
Author : Rustam Stolkin
Publisher : BoD – Books on Demand
ISBN 13 : 3902613068
Total Pages : 544 pages
Book Rating : 4.9/5 (26 download)
Download or read book Scene Reconstruction Pose Estimation and Tracking written by Rustam Stolkin and published by BoD – Books on Demand. This book was released on 2007-06-01 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports recent advances in the use of pattern recognition techniques for computer and robot vision. The sciences of pattern recognition and computational vision have been inextricably intertwined since their early days, some four decades ago with the emergence of fast digital computing. All computer vision techniques could be regarded as a form of pattern recognition, in the broadest sense of the term. Conversely, if one looks through the contents of a typical international pattern recognition conference proceedings, it appears that the large majority (perhaps 70-80%) of all pattern recognition papers are concerned with the analysis of images. In particular, these sciences overlap in areas of low level vision such as segmentation, edge detection and other kinds of feature extraction and region identification, which are the focus of this book.
Author : Derek Hoiem
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608457281
Total Pages : 172 pages
Book Rating : 4.6/5 (84 download)
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
Author : Jayanta Mukhopadhyay
Publisher : Springer Nature
ISBN 13 : 3030579077
Total Pages : 272 pages
Book Rating : 4.0/5 (35 download)
Download or read book Digital Techniques for Heritage Presentation and Preservation written by Jayanta Mukhopadhyay and published by Springer Nature. This book was released on 2021-03-17 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes various new computer based approaches which can be exploited for the (digital) reconstruction, recognition, restoration, presentation and classification of digital heritage. They are based on applications of virtual reality, augmented reality and artificial intelligence, to be used for storing and retrieving of historical artifacts, digital reconstruction, or virtual viewing. The book is divided into three sections: “Classification of Heritage Data” presents chapters covering various domains and aspects including text categorization, image retrieval and classification, and object spotting in historical documents. Next, in “Detection and Recognition of Digital Heritage Artifacts”, techniques like neural networks or deep learning are used for the restoration of degraded heritage documents, Tamil Palm Leaf Characters recognition, the reconstruction of heritage images, and the selection of suitable images for 3D reconstruction and classification of Indian land mark heritage images. Lastly, “Applications of Modern Tools in Digital Heritage” highlights some example applications for dance transcription, architectural geometry of early temples by digital reconstruction, and computer vision based techniques for collecting and integrating knowledge on flora. This book is mainly written for researchers and graduate students in digital preservation and heritage, or computer scientists looking for applications of virtual reality, computer vision, and artificial intelligence techniques.
Author : Andrea Fossati
Publisher : Springer Science & Business Media
ISBN 13 : 1447146409
Total Pages : 220 pages
Book Rating : 4.4/5 (471 download)
Download or read book Consumer Depth Cameras for Computer Vision written by Andrea Fossati and published by Springer Science & Business Media. This book was released on 2012-10-03 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The potential of consumer depth cameras extends well beyond entertainment and gaming, to real-world commercial applications. This authoritative text reviews the scope and impact of this rapidly growing field, describing the most promising Kinect-based research activities, discussing significant current challenges, and showcasing exciting applications. Features: presents contributions from an international selection of preeminent authorities in their fields, from both academic and corporate research; addresses the classic problem of multi-view geometry of how to correlate images from different viewpoints to simultaneously estimate camera poses and world points; examines human pose estimation using video-rate depth images for gaming, motion capture, 3D human body scans, and hand pose recognition for sign language parsing; provides a review of approaches to various recognition problems, including category and instance learning of objects, and human activity recognition; with a Foreword by Dr. Jamie Shotton.
Author : Marcus A. Magnor
Publisher : CRC Press
ISBN 13 : 1482243822
Total Pages : 454 pages
Book Rating : 4.4/5 (822 download)
Download or read book Digital Representations of the Real World written by Marcus A. Magnor and published by CRC Press. This book was released on 2015-05-07 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create Genuine Visual Realism in Computer Graphics Digital Representations of the Real World: How to Capture, Model, and Render Visual Reality explains how to portray visual worlds with a high degree of realism using the latest video acquisition technology, computer graphics methods, and computer vision algorithms. It explores the integration of ne
Author : Michael Brady
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)
Download or read book Computer Vision written by Michael Brady and published by . This book was released on 1984 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Roberto Cipolla
Publisher : Springer Science & Business Media
ISBN 13 : 3642128475
Total Pages : 362 pages
Book Rating : 4.6/5 (421 download)
Download or read book Computer Vision written by Roberto Cipolla and published by Springer Science & Business Media. This book was released on 2010-05-11 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.
Author : Shai Avidan
Publisher : Springer Nature
ISBN 13 : 3031200683
Total Pages : 804 pages
Book Rating : 4.0/5 (312 download)
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 804 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.
Author : Edilson de Aguiar
Publisher : Springer Science & Business Media
ISBN 13 : 3642103162
Total Pages : 172 pages
Book Rating : 4.6/5 (421 download)
Download or read book Animation and Performance Capture Using Digitized Models written by Edilson de Aguiar and published by Springer Science & Business Media. This book was released on 2009-12-08 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: The realistic generation of virtual doubles of real-world actors has been the focus of computer graphics research for many years. However, some problems still remain unsolved: it is still time-consuming to generate character animations using the traditional skeleton-based pipeline, passive performance capture of human actors wearing arbitrary everyday apparel is still challenging, and until now, there is only a limited amount of techniques for processing and modifying mesh animations, in contrast to the huge amount of skeleton-based techniques. In this thesis, we propose algorithmic solutions to each of these problems. First, two efficient mesh-based alternatives to simplify the overall character animation process are proposed. Although abandoning the concept of a kinematic skeleton, both techniques can be directly integrated in the traditional pipeline, generating animations with realistic body deformations. Thereafter, three passive performance capture methods are presented which employ a deformable model as underlying scene representation. The techniques are able to jointly reconstruct spatio-temporally coherent time-varying geometry, motion, and textural surface appearance of subjects wearing loose and everyday apparel. Moreover, the acquired high-quality reconstructions enable us to render realistic 3D Videos. At the end, two novel algorithms for processing mesh animations are described. The first one enables the fully-automatic conversion of a mesh animation into a skeletonbased animation and the second one automatically converts a mesh animation into an animation collage, a new artistic style for rendering animations. The methods described in the thesis can be regarded as solutions to specific problems or important building blocks for a larger application. As a whole, they form a powerful system to accurately capture, manipulate and realistically render realworld human performances, exceeding the capabilities of many related capture techniques. By this means, we are able to correctly capture the motion, the timevarying details and the texture information of a real human performing, and transform it into a fully-rigged character animation, that can be directly used by an animator, or use it to realistically display the actor from arbitrary viewpoints.
Author : Ivan Petrovic
Publisher : Springer Nature
ISBN 13 : 3031222164
Total Pages : 941 pages
Book Rating : 4.0/5 (312 download)
Download or read book Intelligent Autonomous Systems 17 written by Ivan Petrovic and published by Springer Nature. This book was released on 2023-01-17 with total page 941 pages. Available in PDF, EPUB and Kindle. Book excerpt: “IAS has been held every two years since 1986 providing venue for the latest accomplishments and innovations in advanced intelligent autonomous systems. New technologies and application domains continuously pose new challenges to be overcome in order to apply intelligent autonomous systems in a reliable and user-independent way in areas ranging from industrial applications to professional service and household domains. The present book contains the papers presented at the 17th International Conference on Intelligent Autonomous Systems (IAS-17), which was held from June 13–16, 2022, in Zagreb, Croatia. In our view, 62 papers, authored by 196 authors from 19 countries, are a testimony to the appeal of the conference considering travel restrictions imposed by the COVID-19 pandemic. Our special thanks go to the authors and the reviewers for their effort—the results of their joint work are visible in this book. We look forward to seeing you at IAS-18 in 2023 in Suwon, South Korea!”
