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Open AccessJournal ArticleDOI

Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications

Kourosh Khoshelham, +1 more
- 01 Feb 2012 - 
- Vol. 12, Iss: 2, pp 1437-1454
TLDR
The calibration of the Kinect sensor is discussed, and an analysis of the accuracy and resolution of its depth data is provided, based on a mathematical model of depth measurement from disparity.
Abstract
Consumer-grade range cameras such as the Kinect sensor have the potential to be used in mapping applications where accuracy requirements are less strict. To realize this potential insight into the geometric quality of the data acquired by the sensor is essential. In this paper we discuss the calibration of the Kinect sensor, and provide an analysis of the accuracy and resolution of its depth data. Based on a mathematical model of depth measurement from disparity a theoretical error analysis is presented, which provides an insight into the factors influencing the accuracy of the data. Experimental results show that the random error of depth measurement increases with increasing distance to the sensor, and ranges from a few millimeters up to about 4 cm at the maximum range of the sensor. The quality of the data is also found to be influenced by the low resolution of the depth measurements.

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Citations
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Enhanced Computer Vision With Microsoft Kinect Sensor: A Review

TL;DR: A comprehensive review of recent Kinect-based computer vision algorithms and applications covering topics including preprocessing, object tracking and recognition, human activity analysis, hand gesture analysis, and indoor 3-D mapping.
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µ-MAR

TL;DR: A method able to both coarse and fine register sets of 3D points provided by low-cost depth-sensing cameras into a common coordinate system, able to overcome the noisy data problem by means of using a model-based solution of multiplane registration.
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Analysis of the Accuracy and Robustness of the Leap Motion Controller

TL;DR: Using the conclusion of this analysis can improve the development of applications for the Leap Motion controller in the field of Human-Computer Interaction.
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3-D Mapping With an RGB-D Camera

TL;DR: A novel mapping system that robustly generates highly accurate 3-D maps using an RGB-D camera that applies to small domestic robots such as vacuum cleaners, as well as flying robotssuch as quadrocopters.
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Soli: ubiquitous gesture sensing with millimeter wave radar

TL;DR: It is demonstrated that Soli can be used for robust gesture recognition and can track gestures with sub-millimeter accuracy, running at over 10,000 frames per second on embedded hardware.
References
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Proceedings ArticleDOI

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TL;DR: An implementation is demonstrated that is able to align two range images in a few tens of milliseconds, assuming a good initial guess, and has potential application to real-time 3D model acquisition and model-based tracking.
Proceedings ArticleDOI

KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera

TL;DR: Novel extensions to the core GPU pipeline demonstrate object segmentation and user interaction directly in front of the sensor, without degrading camera tracking or reconstruction, to enable real-time multi-touch interactions anywhere.
Book ChapterDOI

RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments

TL;DR: This paper presents RGB-D Mapping, a full 3D mapping system that utilizes a novel joint optimization algorithm combining visual features and shape-based alignment to achieve globally consistent maps.
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