Download or read book Computer Vision ECCV 2020 written by Andrea Vedaldi and published by Springer Nature. This book was released on 2020-11-06 with total page 789 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.

Download or read book Computer Vision ECCV 2022 written by Shai Avidan and published by Springer Nature. This book was released on 2022-10-22 with total page 803 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 Methods and Applications for Modeling and Simulation of Complex Systems written by Fazilah Hassan and published by Springer Nature. This book was released on 2023-11-13 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 22nd Asia Simulation Conference on Methods and Applications for Modeling and Simulation of Complex Systems, AsiaSim 2023, held in Langkawi, Malaysia, during October 25–26, 2023. The 77 full papers included in this book were carefully reviewed and selected from 164 submissions. They were organized in topical sections as follows: Modelling and Simulation, Artificial intelligence, Industry 4.0, Digital Twins Modelling, Simulation and Gaming, Simulation for Engineering, Simulation for Sustainable Development, Simulation in Social Sciences.

Download or read book Pattern Recognition written by Christian Wallraven and published by Springer Nature. This book was released on 2022-05-09 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 13188 - 13189 constitutes the refereed proceedings of the 6th Asian Conference on Pattern Recognition, ACPR 2021, held in Jeju Island, South Korea, in November 2021. The 85 full papers presented were carefully reviewed and selected from 154 submissions. The papers are organized in topics on: classification, action and video and motion, object detection and anomaly, segmentation, grouping and shape, face and body and biometrics, adversarial learning and networks, computational photography, learning theory and optimization, applications, medical and robotics, computer vision and robot vision.

Download or read book Learning 3D Generation and Matching written by Thibault Groueix and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: L'objectif de cette thèse est de développer des approches d'apprentissage profond pour modéliser et analyser les formes 3D. Les progrès dans ce domaine pourraient démocratiser la création artistique d'actifs 3D, actuellement coûteuse en temps et réservés aux experts du domaine. Nous nous concentrons en particulier sur deux tâches clefs pour la modélisation 3D : la reconstruction à vue unique et la mise en correspondance de formes.Une méthode de reconstruction à vue unique (SVR) prend comme entrée une seule image et prédit le monde physique qui a produit cette image. SVR remonte aux premiers jours de la vision par ordinateur. Étant donné que plusieurs configurations de formes, de textures et d'éclairage peuvent expliquer la même image il faut formuler des hypothèses sur la distribution d'images et de formes 3D pour résoudre l'ambiguïté. Dans cette thèse, nous apprenons ces hypothèses à partir de jeux de données à grande échelle au lieu de les concevoir manuellement. Les méthodes d'apprentissage nous permettent d'effectuer une reconstruction complète et réaliste de l'objet, y compris des parties qui ne sont pas visibles dans l'image d'entrée.La mise en correspondance de forme vise à établir des correspondances entre des objets 3D. Résoudre cette tâche nécessite à la fois une compréhension locale et globale des formes 3D qui est difficile à obtenir explicitement. Au lieu de cela, nous entraînons des réseaux neuronaux sur de grands jeux de données pour capturer ces connaissances implicitement.La mise en correspondance de forme a de nombreuses applications en modélisation 3D telles que le transfert d'attribut, le gréement automatique pour l'animation ou l'édition de maillage.La première contribution technique de cette thèse est une nouvelle représentation paramétrique des surfaces 3D modélisées par les réseaux neuronaux. Le choix de la représentation des données est un aspect critique de tout algorithme de reconstruction 3D. Jusqu'à récemment, la plupart des approches profondes en génération 3D prédisaient des grilles volumétriques de voxel ou des nuages de points, qui sont des représentations discrètes. Au lieu de cela, nous présentons une approche qui prédit une déformation paramétrique de surface, c'est-à-dire une déformation d'un modèle source vers une forme objectif. Pour démontrer les avantages ses avantages, nous utilisons notre nouvelle représentation pour la reconstruction à vue unique. Notre approche, baptisée AtlasNet, est la première approche profonde de reconstruction à vue unique capable de reconstruire des maillages à partir d'images sans s'appuyer sur un post-traitement indépendant, et peut le faire à une résolution arbitraire sans problèmes de mémoire. Une analyse plus détaillée d'AtlasNet révèle qu'il généralise également mieux que les autres approches aux catégories sur lesquelles il n'a pas été entraîné.Notre deuxième contribution est une nouvelle approche de correspondance de forme purement basée sur la reconstruction par des déformations. Nous montrons que la qualité des reconstructions de forme est essentielle pour obtenir de bonnes correspondances, et donc introduisons une optimisation au moment de l'inférence pour affiner les déformations apprises. Pour les humains et d'autres catégories de formes déformables déviant par une quasi-isométrie, notre approche peut tirer parti d'un modèle et d'une régularisation isométrique des déformations. Comme les catégories présentant des variations non isométriques, telles que les chaises, n'ont pas de modèle clair, nous apprenons à déformer n'importe quelle forme en n'importe quelle autre et tirons parti des contraintes de cohérence du cycle pour apprendre des correspondances qui respectent la sémantique des objets. Notre approche de correspondance de forme fonctionne directement sur les nuages de points, est robuste à de nombreux types de perturbations, et surpasse l'état de l'art de 15% sur des scans d'humains réels.

Download or read book Interactivity Game Creation Design Learning and Innovation written by Anthony L. Brooks and published by Springer. This book was released on 2017-03-17 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of two conferences: The 5th International Conference on ArtsIT, Interactivity and Game Creation (ArtsIT 2016) and the First International Conference on Design, Learning and Innovation (DLI 2016). ArtsIT is reflecting trends in the expanding field of digital art, interactive art, and how game creation is considered an art form. The decision was made to augment the title of ArtsIT to be in future known as “The International Conference on Interactivity, Game Creation, Design, Learning, and Innovation”. The event was hosted in Esbjerg, Denmark in May 2016 and attracted 76 submissions from which 34 full papers were selected for publication in this book. The papers represent a forum for the dissemination of cutting-edge research results in the area of arts, design and technology.

Download or read book Computer Vision ECCV 2018 written by Vittorio Ferrari and published by Springer. This book was released on 2018-10-05 with total page 874 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Advanced Intelligent Computing Technology and Applications written by De-Shuang Huang and published by Springer Nature. This book was released on with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Developing Third Generation Learning Organizations written by Kazimierz Gozdz and published by Cambridge Scholars Publishing. This book was released on 2023-05-03 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: The future belongs to organizations with active knowledge-creating, agile individuals and cultures. Research has shown that such cultures emerge when people are developing their skills and capabilities, and that the greatest catalyst for human development is the maturity level of the institutions of which they are part. At the same time, history has demonstrated that, to become such an organization, leaders need to first undergo their own personal transformation and embrace the ambiguity and uncertainty of the current and foreseeable business environment. They then need to support similar transformation across other levels of the organization. This book offers both the theory and methodology needed to implement such development, along with case studies that highlight key steps in the process. Drawing on the theoretical and methodological work of Peter Senge, Michael Ray, Willis Harman, Michael Polanyi, Scott Peck, and others, it outlines a process for developing and maintaining an organization in which the development of people leads to enhanced profitability.

Download or read book Learning Geometric Image Matching for Visual 3D Modelling written by Zixin Luo and published by . This book was released on 2020 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 3D Imaging Analysis and Applications written by Yonghuai Liu and published by Springer Nature. This book was released on 2020-09-11 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Artificial Intelligence for Art Creation and Understanding written by Luntian Mou and published by CRC Press. This book was released on 2024-08-29 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI-Generated Content (AIGC) is a revolutionary engine for digital content generation. In the area of art, AI has achieved remarkable advancements. AI is capable of not only creating paintings or music comparable to human masterpieces, but it also understands and appreciates artwork. For professionals and amateurs, AI is an enabling tool and an opportunity to enjoy a new world of art. This book aims to present the state-of-the-art AI technologies for art creation, understanding, and evaluation. The contents include a survey on cross-modal generation of visual and auditory content, explainable AI and music, AI-enabled robotic theater for Chinese folk art, AI for ancient Chinese music restoration and reproduction, AI for brainwave opera, artistic text style transfer, data-driven automatic choreography, Human-AI collaborative sketching, personalized music recommendation and generation based on emotion and memory (MemoMusic), understanding music and emotion from the brain, music question answering, emotional quality evaluation for generated music, and AI for image aesthetic evaluation. The key features of the book are as follows: AI for Art is a fascinating cross-disciplinary field for the academic community as well as the public. Each chapter is an independent interesting topic, which provides an entry for corresponding readers. It presents SOTA AI technologies for art creation and understanding. The artistry and appreciation of the book is wide-ranging – for example, the combination of AI with traditional Chinese art. This book is dedicated to the international cross-disciplinary AI Art community: professors, students, researchers, and engineers from AI (machine learning, computer vision, multimedia computing, affective computing, robotics, etc.), art (painting, music, dance, fashion, design, etc.), cognitive science, and psychology. General audiences can also benefit from this book.

Download or read book 3D Imaging Multidimensional Signal Processing and Deep Learning written by Lakhmi C. Jain and published by Springer Nature. This book was released on 2022-07-01 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas. The two volumes of the book cover wide area of the aspects of the contemporary multidimensional imaging and outline the related future trends from data acquisition to real-world applications based on new techniques and theoretical approaches. This volume contains papers devoted to the theoretical representation and analysis of the 3D images. The related topics included are 3D image transformation, 3D tensor image representation, 3D content generation technologies, 3D graphic information processing, VR content generation technologies, multi-dimensional image processing, dynamic and auxiliary 3D displays, VR/AR/MR device, VR camera technologies, 3D imaging technologies and applications, 3D computer vision, 3D video communications, 3D medical images processing and analysis, 3D remote sensing images and systems, deep learning for image restoration and recognition, neural networks for MD image processing, etc.

Download or read book Handbook of Deep Learning Applications written by Valentina Emilia Balas and published by Springer. This book was released on 2019-02-25 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.

Download or read book Multimedia Technology and Enhanced Learning written by Weina Fu and published by Springer Nature. This book was released on 2021-07-21 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume book constitutes the refereed proceedings of the 3rd International Conference on Multimedia Technology and Enhanced Learning, ICMTEL 2021, held in April 2021. Due to the COVID-19 pandemic the conference was held virtually. The 97 revised full papers have been selected from 208 submissions. They describe new learning technologies which range from smart school, smart class and smart learning at home and which have been developed from new technologies such as machine learning, multimedia and Internet of Things.

Download or read book Pattern Recognition written by Ullrich Köthe and published by Springer Nature. This book was released on with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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