Nadia Magnenat-Thalmann – författare

Written by a team of current and former researchers at MIRALab, University of Geneva or VRlab, EPFL, this book is the definitive guide to the area.

3D Multiscale Physiological Human aims to promote scientific exchange by bringing together overviews and examples of recent scientific and technological advancements across a wide range of research disciplines. As a result, the variety in methodologies and knowledge paradigms are contrasted, revealing potential gaps and opportunities for integration. Chapters have been contributed by selected authors in the relevant domains of tissue engineering, medical image acquisition and processing, visualization, modeling, computer aided diagnosis and knowledge management. The multi-scale and multi-disciplinary research aspects of articulations in humans are highlighted, with a particular emphasis on medical diagnosis and treatment of musculoskeletal diseases and related disorders.

The need for multi-scale modalities and multi-disciplinary research is an emerging paradigm in the search for a better biological and medical understanding of the human musculoskeletal system. This is particularly motivated by the increasing socio-economic burden of disability and musculoskeletal diseases, especially in the increasing population of elderly people. Human movement is generated through a complex web of interactions between embedded physiological systems on different spatiotemporal scales, ranging from the molecular to the organ level. Much research is dedicated to the understanding of each of these systems, using methods and modalities tailored for each scale. Nevertheless, combining knowledge from different perspectives opens new venues of scientific thinking and stimulates innovation. Integration of this mosaic of multifaceted data across multiple scales and modalities requires further exploration of methods in simulations and visualization to obtain a comprehensive synthesis. However, this integrative approach cannot be achieved without a broad appreciation for the multiple research disciplines involved.

Research into the 3D Physiological Human is a very active field focusing on the creation of patient-specific computer models for personalised healthcare. Reporting on how these models can simulate and provide a better understanding of human physiology and pathology, this book also looks at how the evolution and the improvement of technological devices such as scanners, medical instruments, and computer power have helped in our understanding of the human body and its functionalities.

The book contains contributions from leading researchers from a variety of disciplines (including computer graphics, biomechanics, knowledge representation, human-machine interfaces etc) associated with medical imaging, simulation, computer-assisted surgery and 3D semantics.

Divided into three parts: anatomical and physiological modelling, physically-based simulation, and medical analysis and knowledge management, this book provides a clear picture of the most recent advances in this increasingly important area.

This book constitutes the refereed proceedings of the 37th Computer Graphics International Conference, CGI 2020, held in Geneva, Switzerland, in October 2020. The conference was held virtually.

The 43 full papers presented together with 3 short papers were carefully reviewed and selected from 189 submissions. The papers address topics such as: virtual reality; rendering and textures; augmented and mixed reality; video processing; image processing; fluid simulation and control; meshes and topology; visual simulation and aesthetics; human computer interaction; computer animation; geometric computing; robotics and vision; scientific visualization; and machine learning for graphics.

The 1 full paper and 13 short papers presented were carefully reviewed and selected from a total of 86 submissions. The papers are organized in topical sections of modelling, animation and simulation; virtual reality; image processing and computer vision.

This edited book is one of the first to describe how Autonomous Virtual Humans and Social Robots can interact with real people and be aware of the surrounding world using machine learning and AI. It includes:

·       Many algorithms related to the awareness of the surrounding world such as the recognition of objects, the interpretation of various sources of data provided by cameras, microphones, and wearable sensors

·       Deep Learning Methods to provide solutions to Visual Attention, Quality Perception, and Visual Material Recognition

·       How Face Recognition and Speech Synthesis will replace the traditional mouse and keyboard interfaces

·       Semantic modeling and rendering and shows how these domains play an important role in Virtual and Augmented   Reality Applications.

Intelligent Scene Modeling and Human-Computer Interaction explains how to understand the composition and build very complex scenes and emphasizes the semantic methods needed to have an intelligent interaction with them. It offers readers a unique opportunity to comprehend the rapid changes and continuous development in the fields of Intelligent Scene Modeling.