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The ability to adjust the display according to the user viewpoint gives a more immersive user experience to augmented reality applications. In this thesis, we propose a pipeline for rendering images to variable viewpoints from a video captured on a mobile device with an arbitrarily aligned camera sensor. We present algorithms to handle depth map restoration, disocclusion and synchronization issues to minimize artifacts in the rendering of virtual images. This pipeline is implemented in the Project Tango framework where an RGB-IR pixel sensor is used to capture depth map and color image inputs. At the end, we demonstrate the results with a video recorded on the Project Tango tablet. The results show that the pipeline is capable of rendering realistic images that have the potential of being used for augmented reality applications.

Real-Time Depth-Image-Based Rendering for Viewpoint-Variable Display on Mobile Devices