Model optimization for model-based compression of real world video data

The availability of affordable cameras with additional depth sensor boosted the advances in the field of Simultaneous Localization and Mapping (SLAM). This area of research addresses creating a 3D representation of unknown environment by fusing sensor information. Whereas a coarse representation suffices for navigational purposes, the resulting 3D models are not accurate enough to allow rendering a visually pleasing video stream based on the gathered information, when applying a model based video compression standard such as MPEG-4 Part 25. This publication focuses on increasing the accuracy of the created 3D models in order to improve the perceived quality when using model-based video coding and aims for performance comparable to hybrid video encoding.