8th International Conference on Computing, Control and Industrial Engineering (CCIE2024)
Author: Yuriy S. Shmaliy
Publisher: Springer Nature
Published:
Total Pages: 643
ISBN-13: 981976937X
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Frontiers of Computer Vision
Author: Kazuhiko Sumi
Publisher: Springer Nature
Published: 2022-05-16
Total Pages: 362
ISBN-13: 3031063813
DOWNLOAD EBOOKThis book constitutes refereed proceedings of the 28th International Workshop on Frontiers of Computer Vision, IW-FCV 2022, held in Hiroshima, Japan, in February 2022. Due to the COVID-19 pandemic the conference was held online. The 24 full papers presented in this volume were thoroughly reviewed and selected from 63 submissions. The papers are organized according to the following topics: camera, 3D, and imaging; learning algorithm; object detection/segmentation; recognition/generation.
RoboCup 2015: Robot World Cup XIX
Author: Luis Almeida
Publisher: Springer
Published: 2016-01-29
Total Pages: 393
ISBN-13: 3319293397
DOWNLOAD EBOOKThis book is the Proceedings of the 19th Annual RoboCup International Symposium, held in Hefei, China, in July 2015. The book contains 20 papers presented at the Symposium, carefully selected from 39 submissions. Additionally the book contains 11 champion team papers and one paper from the Workshop on Benchmarking Service Robots. The papers present current research in robotics, artificial intelligence, computer vision, multiagent systems, simulation, and other areas.
Smart Grid and Innovative Frontiers in Telecommunications
Author: Hongming Yang
Publisher: Springer Nature
Published: 2023-05-25
Total Pages: 526
ISBN-13: 3031317335
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the 7th International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2022, held in Changsha, China, in December 10-12, 2022 The 44 full papers were selected from 116 submissions and focus on new challenges and opportunities of intelligent technologies in new energy systems.The papers are the papers are divided into the following areas: Simulation and analysis of the integrated energy system, disaster prevention & reduction for power grid, industry 4.0 applications, flexible planning and regulation techniques in smart grids, smart control and diagnose of distributed power system, and control and operation of UAV. These sessions aimed to address the new dimension that can gain insights into key challenges, understanding, and criteria of new technologies to develop and implement future industry-related services and applications.
Intelligent Robotics and Applications
Author: Honghai Liu
Publisher: Springer Nature
Published: 2022-08-03
Total Pages: 813
ISBN-13: 3031138228
DOWNLOAD EBOOKThe 4-volume set LNAI 13455 - 13458 constitutes the proceedings of the 15th International Conference on Intelligent Robotics and Applications, ICIRA 2022, which took place in Harbin China, during August 2022. The 284 papers included in these proceedings were carefully reviewed and selected from 442 submissions. They were organized in topical sections as follows: Robotics, Mechatronics, Applications, Robotic Machining, Medical Engineering, Soft and Hybrid Robots, Human-robot Collaboration, Machine Intelligence, and Human Robot Interaction.
Computer Vision – ECCV 2022 Workshops
Author: Leonid Karlinsky
Publisher: Springer Nature
Published: 2023-02-11
Total Pages: 517
ISBN-13: 3031250850
DOWNLOAD EBOOKThe 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022. The conference took place in Tel Aviv, Israel, during October 23-27, 2022; the workshops were held hybrid or online. The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the ECCV 2022 workshop proceedings. They were organized in individual parts as follows: Part I: W01 - AI for Space; W02 - Vision for Art; W03 - Adversarial Robustness in the Real World; W04 - Autonomous Vehicle Vision Part II: W05 - Learning With Limited and Imperfect Data; W06 - Advances in Image Manipulation; Part III: W07 - Medical Computer Vision; W08 - Computer Vision for Metaverse; W09 - Self-Supervised Learning: What Is Next?; Part IV: W10 - Self-Supervised Learning for Next-Generation Industry-Level Autonomous Driving; W11 - ISIC Skin Image Analysis; W12 - Cross-Modal Human-Robot Interaction; W13 - Text in Everything; W14 - BioImage Computing; W15 - Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications; W16 - AI for Creative Video Editing and Understanding; W17 - Visual Inductive Priors for Data-Efficient Deep Learning; W18 - Mobile Intelligent Photography and Imaging; Part V: W19 - People Analysis: From Face, Body and Fashion to 3D Virtual Avatars; W20 - Safe Artificial Intelligence for Automated Driving; W21 - Real-World Surveillance: Applications and Challenges; W22 - Affective Behavior Analysis In-the-Wild; Part VI: W23 - Visual Perception for Navigation in Human Environments: The JackRabbot Human Body Pose Dataset and Benchmark; W24 - Distributed Smart Cameras; W25 - Causality in Vision; W26 - In-Vehicle Sensing and Monitorization; W27 - Assistive Computer Vision and Robotics; W28 - Computational Aspects of Deep Learning; Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W30 - AI-Enabled Medical Image Analysis: Digital Pathology and Radiology/COVID19; W31 - Compositional and Multimodal Perception; Part VIII: W32 - Uncertainty Quantification for Computer Vision; W33 - Recovering 6D Object Pose; W34 - Drawings and Abstract Imagery: Representation and Analysis; W35 - Sign Language Understanding; W36 - A Challenge for Out-of-Distribution Generalization in Computer Vision; W37 - Vision With Biased or Scarce Data; W38 - Visual Object Tracking Challenge.
RGB-D Image Analysis and Processing
Author: Paul L. Rosin
Publisher: Springer Nature
Published: 2019-10-26
Total Pages: 522
ISBN-13: 3030286037
DOWNLOAD EBOOKThis 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.
Computer Vision and Machine Learning with RGB-D Sensors
Author: Ling Shao
Publisher: Springer
Published: 2014-07-14
Total Pages: 313
ISBN-13: 3319086510
DOWNLOAD EBOOKThis 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.
Big Data Analysis and Deep Learning Applications
Author: Thi Thi Zin
Publisher: Springer
Published: 2018-06-06
Total Pages: 388
ISBN-13: 9811308691
DOWNLOAD EBOOKThis book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Readers will find insights to help them realize more efficient algorithms and systems used in real-life applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and regulators of aviation authorities.
Bridging the Semantic Gap in Image and Video Analysis
Author: Halina Kwaśnicka
Publisher: Springer
Published: 2018-02-20
Total Pages: 171
ISBN-13: 3319738917
DOWNLOAD EBOOKThis book presents cutting-edge research on various ways to bridge the semantic gap in image and video analysis. The respective chapters address different stages of image processing, revealing that the first step is a future extraction, the second is a segmentation process, the third is object recognition, and the fourth and last involve the semantic interpretation of the image. The semantic gap is a challenging area of research, and describes the difference between low-level features extracted from the image and the high-level semantic meanings that people can derive from the image. The result greatly depends on lower level vision techniques, such as feature selection, segmentation, object recognition, and so on. The use of deep models has freed humans from manually selecting and extracting the set of features. Deep learning does this automatically, developing more abstract features at the successive levels. The book offers a valuable resource for researchers, practitioners, students and professors in Computer Engineering, Computer Science and related fields whose work involves images, video analysis, image interpretation and so on.
