Intelligent Scene Modeling and Human-Computer Interaction

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...

Full description

Bibliographic Details
Other Authors: Thalmann, Nadia Magnenat (Editor), Zhang, Jian Jun (Editor), Ramanathan, Manoj (Editor), Thalmann, Daniel (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Series:Human–Computer Interaction Series
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Preface
  • Part I: Intelligent Scene Modeling
  • Introduction
  • Object Detection: State of the Art and Beyond
  • NBNN-Based Discriminative 3D Action and Gesture Recognition
  • Random Forests with Optimized Leaves for Hough-Voting
  • Modeling Human Perception of 3D Scenes
  • Model Reconstruction of Real-world 3D Objects: An Application with Microsoft HoloLens
  • Semantic Modeling and Rendering
  • Content-aware Semantic Indoor Scene Modeling from a Single Image
  • Interactive Labeling for Generation of CityGML Building Models from Meshes
  • TooltY: An Approach for the Combination of Motion Capture and 3D Reconstruction to Present Tool Usage in 3D Environments
  • Generating 3D Facial Expressions with Recurrent Neural Networks
  • Part 2: Human-computer Interaction
  • Facilitating Decision Making with Multimodal Interfaces in Collaborative Analytical Sessions
  • Human – Technology Interaction: The State of the Art and the Lack of Naturalism
  • Survey of Speechless Interaction Techniques in Social Robotics
  • Exploring Potential and Acceptance of Socially Intelligent Robot