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Keller, Maik: Real-time simulation of time-of-flight sensors and accumulation of range camera dataEchtzeit Simulation von Time-of-Flight Sensoren und Akkumulation von Tiefendaten. 2015
Inhalt
Abstract
Contents
Introduction
Context
Overall Goals
Contributions
Outline
Fundamentals
Current Range Imaging Techniques
Photo Mixing Device Technology
Signal Theory
Pixel Design
Sensor Effects
Environment Modeling
Types of Representation
Registration
Merging
Rendering
Discussion
Graphics Hardware
Graphics Pipeline
General Purpose Computation
Discussion
Time-of-Flight Sensor Simulation
Motivation
Related Work
Physically-based Sensor Model
Illumination and Radiosity
Simple Model with Point Light Illumination
Enhanced Model including Area Light Illumination
Simulation Framework
Implementation
Phase Image Calculation
Flying Pixels
Motion Blur
Correlation Function
Integration of Sensor Noise
Results and Analysis
Evaluation: Comparison to Real Sensor Data
Wiggling Evaluation
Motion Evaluation
Illumination: Point Light vs. Area Light
Experimental Scenes
Discussion
Hierarchical Volumetric Data Accumulation
Motivation
Related Work
Overview of Concept
Tree Topology
Tree Manipulation
Implementation
Storage of Dynamic Volume Trees
Modification of Dynamic Volume Trees
Redundancy Optimization
Generation of Dynamic Volume Trees
Rendering Taversals
Results and Analysis
Performance Analysis
Scalability
Comparison
Experimental Scenes
Discussion
Point-based Fusion of Range Data
Motivation
Related Work
Basic Fusion System
Overview of Concept
Depth Map Pre-processing
Depth Map Fusion
Camera Pose Estimation and Rendering
Advanced Fusion System: Scene Dynamics
Overview of Concept
Algorithmic Details
Occupancy Grid Integration
Overview of Concept
Implementation
Results and Analysis
Ground Truth Data Evaluation
Comparison
Experimental Scenes
Discussion
Conclusion and Outlook
Summary and Conclusion
Outlook
Bibliography
List of Figures
List of Tables