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Depth Map Enhancement & Superresolution via Structured Light and Stereo Fusion on a Smartphone

(3D Bild-Analyse und Synthese)
Betreuer: Anas Al-Nuaimi
In this work, the student investigates means for depth map completion by fusing depth maps generated from a Kinect-like structured light sensor with depth maps generated using stereo vision. The developed algorithms are intended to work on a modern smartphone which can produce accurate odometry to allow computing depth from stereo using a mono-ocular camera.
Keywords: Computer Vision, 3D Processing
Anforderungen: C++; Matlab; Vision basics