An Empirical Evaluation of Ten Depth Cameras: Bias, Precision, Lateral Noise, Different Lighting Conditions and Materials, and Multiple Sensor Setups in Indoor Environments

Over the last few years, novel color and depth sensors have pushed the boundaries of robot perception significantly. Today, several new depth-sensing products are replacing the earlier, wellexamined red-green-blue-depth (RGBD) sensors, which have reached the end of their product life cycle and are no longer available. The properties of the new sensors have not yet been investigated, and it is unclear how they will compare to earlier RGBD sensors.

[1]  Matthias Nießner,et al.  Real-time 3D reconstruction at scale using voxel hashing , 2013, ACM Trans. Graph..

[2]  Marc Pollefeys,et al.  Structure-based auto-calibration of RGB-D sensors , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[3]  Sebastian Thrun,et al.  Unsupervised Intrinsic Calibration of Depth Sensors via SLAM , 2013, Robotics: Science and Systems.

[4]  Barry N. Taylor,et al.  Guidelines for Evaluating and Expressing the Uncertainty of Nist Measurement Results , 2017 .

[5]  日向 俊二.  Kinect for Windowsアプリを作ろう , 2012 .

[6]  Michael Riis Andersen,et al.  Kinect Depth Sensor Evaluation for Computer Vision Applications , 2012 .

[7]  Vladlen Koltun,et al.  Depth camera tracking with contour cues , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[8]  Shahram Izadi,et al.  Modeling Kinect Sensor Noise for Improved 3D Reconstruction and Tracking , 2012, 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission.

[9]  Federico Tombari,et al.  Real-time and scalable incremental segmentation on dense SLAM , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[10]  Tomás Pajdla,et al.  3D with Kinect , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[11]  Per-Erik Forssén,et al.  Efficient Multi-frequency Phase Unwrapping Using Kernel Density Estimation , 2016, ECCV.

[12]  Ling Shao,et al.  Enhanced Computer Vision With Microsoft Kinect Sensor: A Review , 2013, IEEE Transactions on Cybernetics.

[13]  Sergio Orts,et al.  HyperDepth: Learning Depth from Structured Light without Matching , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[14]  Marcus A. Magnor,et al.  Markerless Motion Capture using multiple Color-Depth Sensors , 2011, VMV.

[15]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  Markus Vincze,et al.  Autonomous Learning of Object Models on a Mobile Robot , 2017, IEEE Robotics and Automation Letters.