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View Code? Open in Web Editor NEWMain reference:Handa, A., Whelan, T., Mcdonald, J., & Davison, A. J. (2014). A Benchmark for RGB-D Visual Odometry , 3D Reconstruction and SLAM. In ICRA.
Main reference:Handa, A., Whelan, T., Mcdonald, J., & Davison, A. J. (2014). A Benchmark for RGB-D Visual Odometry , 3D Reconstruction and SLAM. In ICRA.
The new Kinect noise model will take into account depth distortion caused by the angle between surface normal and viewing direction. This will be combined with the existing kinect noise model which adds quantization as well as distance related noise. More details can be found in the following references:
Nguyen, C. V., Izadi, S., & Lovell, D. (2012). Modeling kinect sensor noise for improved 3D reconstruction and tracking. In 3DIM/3DPVT (pp. 524โ530).
Choo, B., Landau, M., DeVore, M., & Beling, P. (2014). Statistical Analysis-Based Error Models for the Microsoft Kinect Depth Sensor. Sensors, 14(9), 17430โ17450.
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