Dynamic 3D Imaging DAGM 2009 Workshop, Dyn3D 2009, Jena, Germany, September 9, 2009. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Kolb, Andreas (Επιμελητής έκδοσης), Koch, Reinhard (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
• Σειρά: Lecture Notes in Computer Science, 5742
• Θέματα: Computer science.; Data mining.; Information storage and retrieval.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Image Processing and Computer Vision.; Pattern Recognition.; Computer Graphics.; Information Storage and Retrieval.; Data Mining and Knowledge Discovery.

3D imaging sensors have been investigated for several decades. Recently, - provements on classical approaches such as stereo vision and structured light on the one hand, and novel time-of-?ight (ToF) techniques on the other hand have emerged, leading to 3D vision systems with radically improvedchara...

Πίνακας περιεχομένων:

• Fundamentals of ToF-Sensors
• A Physical Model of Time-of-Flight 3D Imaging Systems, Including Suppression of Ambient Light
• Compensation of Motion Artifacts for Time-of-Flight Cameras
• Radiometric and Spectrometric Calibrations, and Distance Noise Measurement of ToF Cameras
• Algorithms and Data Fusion
• Datastructures for Capturing Dynamic Scenes with a Time-of-Flight Camera
• Fusing Time-of-Flight Depth and Color for Real-Time Segmentation and Tracking
• Depth Imaging by Combining Time-of-Flight and On-Demand Stereo
• Realistic Depth Blur for Images with Range Data
• Global Context Extraction for Object Recognition Using a Combination of Range and Visual Features
• Shadow Detection in Dynamic Scenes Using Dense Stereo Information and an Outdoor Illumination Model
• Applications of Dynamic 3D Scene Analysis
• MixIn3D: 3D Mixed Reality with ToF-Camera
• Self-Organizing Maps for Pose Estimation with a Time-of-Flight Camera
• Analysis of Gait Using a Treadmill and a Time-of-Flight Camera
• Face Detection Using a Time-of-Flight Camera.