1.Problem statement
2.Final Report
3.Scripts
4.Datasets
[1]Song, S., Lichtenberg, S. P., & Xiao, J. (2015). SUN RGB-D: A RGB-D scene understanding benchmark suite. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 567–576. https://doi.org/10.1109/CVPR.2015.7298655
[2]Sturm, J., Engelhard, N., Endres, F., Burgard, W., & Cremers, D. (2012). A benchmark for the evaluation of RGB-D SLAM systems. 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 573–580. https://doi.org/10.1109/IROS.2012.6385773
[3]Sungjoon Choi, Zhou, Q.-Y., & Koltun, V. (2015). Robust reconstruction of indoor scenes. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5556–5565. https://doi.org/10.1109/CVPR.2015.7299195
[4]Zhou, Q.-Y., Park, J., & Koltun, V. (2018). Open3D: A Modern Library for 3D Data Processing. https://arxiv.org/abs/1801.09847v1