RGB-D datasets using microsoft kinect or similar sensors: a survey
Cai Z, Han J, Liu L, et al. RGB-D datasets using microsoft kinect or similar sensors: a survey[J]. Multimedia Tools & Applications, 2016:1-43.
RGBD Datasets: Past, Present and Future
@inproceedings{firman-cvprw-2016,
author = {Michael Firman},
title = ,
booktitle = {CVPR Workshop on Large Scale 3D Data: Acquisition, Modelling and Analysis},
year = {2016}
}
Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling
Wang A, Lu J, Wang G, et al. Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling[M]// Computer Vision – ECCV 2014. Springer International Publishing, 2014:453-467.
A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM
Handa A, Whelan T, Mcdonald J, et al. A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM[C]// IEEE International Conference on Robotics and Automation. 2014:1524-1531.
Multimodal cue integration through Hypotheses Verification for RGB-D object recognition and 6DOF pose estimation
Aldoma A, Tombari F, Prankl J, et al. Multimodal cue integration through Hypotheses Verification for RGB-D object recognition and 6DOF pose estimation[J]. 2013:2104-2111.
A benchmark for the evaluation of RGB-D SLAM systems
Sturm J, Engelhard N, Endres F, et al. A benchmark for the evaluation of RGB-D SLAM systems[C]// IEEE/RSJ International Conference on Intelligent Robots & Systems. 2012:573-580.
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