Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time

机译：基于高斯过程的RGB-D传感器时空深度校正

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Commodity RGB-D sensors capture color images along with dense pixel-wise depth information in real-time. Typical RGB-D sensors are provided with a factory calibration and exhibit erratic depth readings due to coarse calibration values, ageing and thermal influence effects. This limits their applicability in computer vision and robotics. We propose a novel method to accurately calibrate depth considering spatial and thermal influences jointly. Our work is based on Gaussian Process Regression in a four dimensional Cartesian and thermal domain. We propose to leverage modern GPUs for dense depth map correction in real-time. For reproducibility we make our dataset and source code publicly available.

机译：商品RGB-D传感器可实时捕获彩色图像以及密集的逐像素深度信息。典型的RGB-D传感器具有出厂校准，并且由于粗略的校准值，老化和热影响而显示出不规则的深度读数。这限制了它们在计算机视觉和机器人技术中的适用性。我们提出了一种新的方法来准确地校准深度，同时考虑了空间和热的影响。我们的工作基于四维笛卡尔和热域中的高斯过程回归。我们建议利用现代GPU实时进行密集深度图校正。为了提高可重复性，我们公开了我们的数据集和源代码。

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《International conference on machine vision》|2017年|106961A.1-106961A.8|共8页
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Christoph Heindl; Thomas Poenitz; Gemot Stubl; Andreas Pichler; Josef Scharinger;
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RGB-D; Thermal; Depth Calibration; Gaussian Process Regression; GPU;

机译：RGB-D;散热;深度校准高斯过程回归;显卡;

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专利

1. Accurate Intrinsic and Extrinsic Calibration of RGB-D Cameras With GP-Based Depth Correction [J] . Chen Guangda, Cui Guowei, Jin Zhongxiao, IEEE sensors journal . 2019,第7期

机译：具有基于GP的深度校正的RGB-D摄像机的精确内在和外在校准
2. Accurate Intrinsic and Extrinsic Calibration of RGB-D Cameras With GP-Based Depth Correction [J] . Chen Guangda, Cui Guowei, Jin Zhongxiao, IEEE sensors journal . 2019,第7期

机译：基于GP的深度校正，准确的RGB-D相机的内在和外在校准
3. Visual Object Tracking Based on Cross-Modality Gaussian-Bernoulli Deep Boltzmann Machines with RGB-D Sensors [J] . Mingxin Jiang, Zhigeng Pan, Zhenzhou Tang Sensors . 2017,第1期

机译：基于带RGB-D传感器的交叉模态高斯-伯努利深玻尔兹曼机器的视觉对象跟踪
4. Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time [C] . Christoph Heindl, Thomas Ponitz, Gernot Stubl, International Conference on Machine Vision . 2018

机译：基于高斯工艺的RGB-D传感器在实时的时空深度校正
5. Sensor based real-time process monitoring for ultra-precision manufacturing processes with non-linearity and non-stationarity. [D] . Beyca, Omer Faruk. 2013

机译：基于传感器的实时过程监控，用于具有非线性和非平稳性的超精密制造过程。
6. Visual Object Tracking Based on Cross-Modality Gaussian-Bernoulli Deep Boltzmann Machines with RGB-D Sensors [O] . Mingxin Jiang, Zhigeng Pan, Zhenzhou Tang 2017

机译：基于带RGB-D传感器的跨模态高斯-伯努利深玻尔兹曼机器的视觉对象跟踪
7. Visual Object Tracking Based on Cross-Modality Gaussian-Bernoulli Deep Boltzmann Machines with RGB-D Sensors [O] . Mingxin Jiang, Zhigeng Pan, Zhenzhou Tang 2017

机译：基于具有RGB-D传感器的交叉模态Gaussian-Bernoulli深Boltzmann机器的视觉目标跟踪

Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time

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