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Building a Kinect-based Mapping Device for Indoor Environment

(3D Bild-Analyse und Synthese)
Betreuer: Anas Al-Nuaimi
Since the introduction of the Microsoft Kinect, short range high quality depth sensing has become possible at an affordable price. The Kinect produces RGB+D scans of the environment. However, these scans need to be "stitched" together first in order to build a more comprehensive 3D model of the environment. The goal of this thesis is to investigate technologies that allow the efficient and robust matching of the 3D scans and ultimately build a cheap and light-weight indoor 3D mapper.
Keywords: Kinect. Computer Vision. Point Cloud Processing