@inproceedings{0c65d771c03a47de9c88a139443a9535,
title = "Multi-volume mapping and tracking for real-time RGB-D sensing",
abstract = "In recent years, many research has been devoted to real-time dense mapping and tracking techniques due to the availability of low-cost RGB-D cameras. In this paper, we present a novel multi-volume mapping and tracking algorithm to generate photo-realistic mapping while maintaining accurate and robust camera tracking. The algorithm deploys one small volume of high voxel resolution to obtain detailed maps of near-field objects, while utilizes another big volume of low voxel resolution to increase robustness of tracking by including far-field scenes. The experimental results show that our multivolume processing scheme achieves an objective quality gain of 2 dB in PSNR and 0.2 in SSIM. Our approach is capable of real-time sensing with approximately 30 fps and can be implemented on a modern GPU.",
keywords = "3D reconstruction, Mapping and tracking, Real-time, RGB-D sensing, Volumetric processing",
author = "Lingni Ma and E. Bondarev and \{de With\}, P.H.N.",
year = "2015",
doi = "10.1117/12.2083350",
language = "English",
isbn = "9781628414899",
series = "Proceedings of SpIE",
publisher = "SPIE",
editor = "K.O. Egiazarian and S.S. Agaian and A.P. Gotchev",
booktitle = "Image Processing: Algorithms and Systems XIII",
address = "United States",
note = "Image Processing: Algorithms and Systems XIII, 10-11 February 2015, San Francisco, USA ; Conference date: 10-02-2015 Through 11-02-2015",
}