This paper presents a system architecture for reconstructing photorealistic and accurate 3D models of indoor environments. The system specifically targets large-scale and arbitrary-shaped environments and enables processing of data obtained with an arbitrary-chosen capturing path. The system extends the baseline Kinect Fusion algorithm with a buffering algorithm to remove scene-size capturing limitations. Beside this, the paper presents the complete chain of advanced algorithms for point cloud segmentation/decimation, camera pose correction and texture mapping with post-processing filters. The presented architecture features memory- and processor-efficient processing, such that it can be executed on a conventional PC with a mainstream GPU card at the consumer premises.
|Title of host publication||Proceedings of the 10th IEEE consumer communications and networking onference (CCNC), 11-14 January 2013, Las Vegas, Nevada|
|Place of Publication||Piscataway|
|Publisher||Institute of Electrical and Electronics Engineers|
|Publication status||Published - 2013|