Computer Vision And Machine Learning With Rgb D Sensors

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Computer Vision and Machine Learning with RGB-D Sensors

Author : Ling Shao,Jungong Han,Pushmeet Kohli,Zhengyou Zhang
Publisher : Springer
Page : 316 pages
File Size : 53,6 Mb
Release : 2014-07-14
Category : Computers
ISBN : 9783319086514

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Computer Vision and Machine Learning with RGB-D Sensors by Ling Shao,Jungong Han,Pushmeet Kohli,Zhengyou Zhang Pdf

This book presents an interdisciplinary selection of cutting-edge research on RGB-D based computer vision. Features: discusses the calibration of color and depth cameras, the reduction of noise on depth maps and methods for capturing human performance in 3D; reviews a selection of applications which use RGB-D information to reconstruct human figures, evaluate energy consumption and obtain accurate action classification; presents an approach for 3D object retrieval and for the reconstruction of gas flow from multiple Kinect cameras; describes an RGB-D computer vision system designed to assist the visually impaired and another for smart-environment sensing to assist elderly and disabled people; examines the effective features that characterize static hand poses and introduces a unified framework to enforce both temporal and spatial constraints for hand parsing; proposes a new classifier architecture for real-time hand pose recognition and a novel hand segmentation and gesture recognition system.

RGB-D Image Analysis and Processing

Author : Paul L. Rosin,Yu-Kun Lai,Ling Shao,Yonghuai Liu
Publisher : Springer Nature
Page : 524 pages
File Size : 52,7 Mb
Release : 2019-10-26
Category : Computers
ISBN : 9783030286033

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RGB-D Image Analysis and Processing by Paul L. Rosin,Yu-Kun Lai,Ling Shao,Yonghuai Liu Pdf

This book focuses on the fundamentals and recent advances in RGB-D imaging as well as covering a range of RGB-D applications. The topics covered include: data acquisition, data quality assessment, filling holes, 3D reconstruction, SLAM, multiple depth camera systems, segmentation, object detection, salience detection, pose estimation, geometric modelling, fall detection, autonomous driving, motor rehabilitation therapy, people counting and cognitive service robots. The availability of cheap RGB-D sensors has led to an explosion over the last five years in the capture and application of colour plus depth data. The addition of depth data to regular RGB images vastly increases the range of applications, and has resulted in a demand for robust and real-time processing of RGB-D data. There remain many technical challenges, and RGB-D image processing is an ongoing research area. This book covers the full state of the art, and consists of a series of chapters by internationally renowned experts in the field. Each chapter is written so as to provide a detailed overview of that topic. RGB-D Image Analysis and Processing will enable both students and professional developers alike to quickly get up to speed with contemporary techniques, and apply RGB-D imaging in their own projects.

Consumer Depth Cameras for Computer Vision

Author : Andrea Fossati,Juergen Gall,Helmut Grabner,Xiaofeng Ren,Kurt Konolige
Publisher : Springer Science & Business Media
Page : 220 pages
File Size : 49,9 Mb
Release : 2012-10-04
Category : Computers
ISBN : 9781447146391

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Consumer Depth Cameras for Computer Vision by Andrea Fossati,Juergen Gall,Helmut Grabner,Xiaofeng Ren,Kurt Konolige Pdf

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.

Advancements in Computer Vision and Image Processing

Author : Garcia-Rodriguez, Jose
Publisher : IGI Global
Page : 322 pages
File Size : 44,6 Mb
Release : 2018-04-06
Category : Computers
ISBN : 9781522556299

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Advancements in Computer Vision and Image Processing by Garcia-Rodriguez, Jose Pdf

Interest in computer vision and image processing has grown in recent years with the advancement of everyday technologies such as smartphones, computer games, and social robotics. These advancements have allowed for advanced algorithms that have improved the processing capabilities of these technologies. Advancements in Computer Vision and Image Processing is a critical scholarly resource that explores the impact of new technologies on computer vision and image processing methods in everyday life. Featuring coverage on a wide range of topics including 3D visual localization, cellular automata-based structures, and eye and face recognition, this book is geared toward academicians, technology professionals, engineers, students, and researchers seeking current research on the development of sophisticated algorithms to process images and videos in real time.

Deep Learning in Computer Vision

Author : Mahmoud Hassaballah,Ali Ismail Awad
Publisher : CRC Press
Page : 261 pages
File Size : 50,6 Mb
Release : 2020-03-23
Category : Computers
ISBN : 9781351003803

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Deep Learning in Computer Vision by Mahmoud Hassaballah,Ali Ismail Awad Pdf

Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.

Vision-Based Human Activity Recognition

Author : Zhongxu Hu,Chen Lv
Publisher : Springer Nature
Page : 130 pages
File Size : 40,8 Mb
Release : 2022-04-22
Category : Computers
ISBN : 9789811922909

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Vision-Based Human Activity Recognition by Zhongxu Hu,Chen Lv Pdf

This book offers a systematic, comprehensive, and timely review on V-HAR, and it covers the related tasks, cutting-edge technologies, and applications of V-HAR, especially the deep learning-based approaches. The field of Human Activity Recognition (HAR) has become one of the trendiest research topics due to the availability of various sensors, live streaming of data and the advancement in computer vision, machine learning, etc. HAR can be extensively used in many scenarios, for example, medical diagnosis, video surveillance, public governance, also in human–machine interaction applications. In HAR, various human activities such as walking, running, sitting, sleeping, standing, showering, cooking, driving, abnormal activities, etc., are recognized. The data can be collected from wearable sensors or accelerometer or through video frames or images; among all the sensors, vision-based sensors are now the most widely used sensors due to their low-cost, high-quality, and unintrusive characteristics. Therefore, vision-based human activity recognition (V-HAR) is the most important and commonly used category among all HAR technologies. The addressed topics include hand gestures, head pose, body activity, eye gaze, attention modeling, etc. The latest advancements and the commonly used benchmark are given. Furthermore, this book also discusses the future directions and recommendations for the new researchers.

Understanding Human Activities Through 3D Sensors

Author : Hazem Wannous,Pietro Pala,Mohamed Daoudi,Francisco Flórez-Revuelta
Publisher : Springer
Page : 129 pages
File Size : 41,9 Mb
Release : 2018-05-15
Category : Computers
ISBN : 9783319918631

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Understanding Human Activities Through 3D Sensors by Hazem Wannous,Pietro Pala,Mohamed Daoudi,Francisco Flórez-Revuelta Pdf

This book constitutes the revised selected papers of the Second International Workshop on Understanding Human Activities through 3D Sensors, UHA3DS 2016, that was held in conjunction with the 23rd International Conference on Pattern Recognition, ICPR 2016, held in Cancun, Mexico, in December 2016. The 9 revised full papers were carefully reviewed and selected from 12 submissions. The papers are organized in topical sections on Behavior Analysis, Human Motion Recognition, and Application Datasets.

Human Action Recognition with Depth Cameras

Author : Jiang Wang,Zicheng Liu,Ying Wu
Publisher : Springer Science & Business Media
Page : 59 pages
File Size : 51,5 Mb
Release : 2014-01-25
Category : Computers
ISBN : 9783319045610

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Human Action Recognition with Depth Cameras by Jiang Wang,Zicheng Liu,Ying Wu Pdf

Action recognition technology has many real-world applications in human-computer interaction, surveillance, video retrieval, retirement home monitoring, and robotics. The commoditization of depth sensors has also opened up further applications that were not feasible before. This text focuses on feature representation and machine learning algorithms for action recognition from depth sensors. After presenting a comprehensive overview of the state of the art, the authors then provide in-depth descriptions of their recently developed feature representations and machine learning techniques, including lower-level depth and skeleton features, higher-level representations to model the temporal structure and human-object interactions, and feature selection techniques for occlusion handling. This work enables the reader to quickly familiarize themselves with the latest research, and to gain a deeper understanding of recently developed techniques. It will be of great use for both researchers and practitioners.

Computer Vision and Image Processing

Author : Balasubramanian Raman,Subrahmanyam Murala,Ananda Chowdhury,Abhinav Dhall,Puneet Goyal
Publisher : Springer Nature
Page : 598 pages
File Size : 44,6 Mb
Release : 2022-07-23
Category : Computers
ISBN : 9783031113499

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Computer Vision and Image Processing by Balasubramanian Raman,Subrahmanyam Murala,Ananda Chowdhury,Abhinav Dhall,Puneet Goyal Pdf

This two-volume set (CCIS 1567-1568) constitutes the refereed proceedings of the 6h International Conference on Computer Vision and Image Processing, CVIP 2021, held in Rupnagar, India, in December 2021. The 70 full papers and 20 short papers were carefully reviewed and selected from the 260 submissions. The papers present recent research on such topics as biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image, image/video processing for autonomous vehicles, video scene understanding, human-computer interaction, document image analysis, face, iris, emotion, sign language and gesture recognition, 3D image/video processing, action and event detection/recognition, medical image and video analysis, vision-based human GAIT analysis, remote sensing, and more.

Computer Vision – ECCV 2018

Author : Vittorio Ferrari,Martial Hebert,Cristian Sminchisescu,Yair Weiss
Publisher : Springer
Page : 733 pages
File Size : 51,5 Mb
Release : 2018-10-05
Category : Computers
ISBN : 9783030012311

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Computer Vision – ECCV 2018 by Vittorio Ferrari,Martial Hebert,Cristian Sminchisescu,Yair Weiss Pdf

The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.

Image and Graphics

Author : Yu-Jin Zhang
Publisher : Springer
Page : 615 pages
File Size : 41,5 Mb
Release : 2015-08-03
Category : Computers
ISBN : 9783319219691

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Image and Graphics by Yu-Jin Zhang Pdf

This book constitutes the refereed conference proceedings of the 8th International Conference on Image and Graphics, ICIG 2015 held in Tianjin, China, in August 2015. The 164 revised full papers and 6 special issue papers were carefully reviewed and selected from 339 submissions. The papers focus on various advances of theory, techniques and algorithms in the fields of images and graphics.

Advanced Concepts for Intelligent Vision Systems

Author : Jacques Blanc-Talon,Rudi Penne,Wilfried Philips,Dan Popescu,Paul Scheunders
Publisher : Springer
Page : 763 pages
File Size : 40,9 Mb
Release : 2017-11-22
Category : Computers
ISBN : 9783319703534

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Advanced Concepts for Intelligent Vision Systems by Jacques Blanc-Talon,Rudi Penne,Wilfried Philips,Dan Popescu,Paul Scheunders Pdf

This book constitutes the refereed proceedings of the 18th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2017, held in Antwerp, Belgium, in September 2017. The 63 full papers presented in this volume were carefully selected from 134 submissions. They deal with human-computer interaction; classification and recognition; navigation, mapping, robotics, and transports; video processing and retrieval; security, forensics, surveillance; and image processing.

3D Imaging, Analysis and Applications

Author : Yonghuai Liu,Nick Pears,Paul L. Rosin,Patrik Huber
Publisher : Springer Nature
Page : 736 pages
File Size : 47,8 Mb
Release : 2020-09-11
Category : Computers
ISBN : 9783030440701

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3D Imaging, Analysis and Applications by Yonghuai Liu,Nick Pears,Paul L. Rosin,Patrik Huber Pdf

This textbook is designed for postgraduate studies in the field of 3D Computer Vision. It also provides a useful reference for industrial practitioners; for example, in the areas of 3D data capture, computer-aided geometric modelling and industrial quality assurance. This second edition is a significant upgrade of existing topics with novel findings. Additionally, it has new material covering consumer-grade RGB-D cameras, 3D morphable models, deep learning on 3D datasets, as well as new applications in the 3D digitization of cultural heritage and the 3D phenotyping of crops. Overall, the book covers three main areas: ● 3D imaging, including passive 3D imaging, active triangulation 3D imaging, active time-of-flight 3D imaging, consumer RGB-D cameras, and 3D data representation and visualisation; ● 3D shape analysis, including local descriptors, registration, matching, 3D morphable models, and deep learning on 3D datasets; and ● 3D applications, including 3D face recognition, cultural heritage and 3D phenotyping of plants. 3D computer vision is a rapidly advancing area in computer science. There are many real-world applications that demand high-performance 3D imaging and analysis and, as a result, many new techniques and commercial products have been developed. However, many challenges remain on how to analyse the captured data in a way that is sufficiently fast, robust and accurate for the application. Such challenges include metrology, semantic segmentation, classification and recognition. Thus, 3D imaging, analysis and their applications remain a highly-active research field that will continue to attract intensive attention from the research community with the ultimate goal of fully automating the 3D data capture, analysis and inference pipeline.

Computer Vision – ECCV 2016

Author : Bastian Leibe,Jiri Matas,Nicu Sebe,Max Welling
Publisher : Springer
Page : 869 pages
File Size : 40,9 Mb
Release : 2016-09-15
Category : Computers
ISBN : 9783319464787

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Computer Vision – ECCV 2016 by Bastian Leibe,Jiri Matas,Nicu Sebe,Max Welling Pdf

The eight-volume set comprising LNCS volumes 9905-9912 constitutes the refereed proceedings of the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. The 415 revised papers presented were carefully reviewed and selected from 1480 submissions. The papers cover all aspects of computer vision and pattern recognition such as 3D computer vision; computational photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based vision, photometry and shape-from-X; recognition: detection, categorization, indexing, matching; segmentation, grouping and shape representation; statistical methods and learning; video: events, activities and surveillance; applications. They are organized in topical sections on detection, recognition and retrieval; scene understanding; optimization; image and video processing; learning; action, activity and tracking; 3D; and 9 poster sessions.

Machine Learning for Computer Vision

Author : Roberto Cipolla,Sebastiano Battiato,Giovanni Maria Farinella
Publisher : Springer
Page : 250 pages
File Size : 41,9 Mb
Release : 2012-07-27
Category : Technology & Engineering
ISBN : 9783642286612

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Machine Learning for Computer Vision by Roberto Cipolla,Sebastiano Battiato,Giovanni Maria Farinella Pdf

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 last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature.