Microsoft kinect 3D depth data analysis

There is a growing trend of using Kinect depth sensor in various fields such as computer vision, UAV (Unmanned Aerial Vehicle), ground mobile robotic and medical. The main objective of this object is to explore the potential of Kinect as a measuring device. This report investigates the quality of tw...

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Main Author: Liang, Xin
Other Authors: Chan Kap Luk
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/61069
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-610692023-07-07T17:28:16Z Microsoft kinect 3D depth data analysis Liang, Xin Chan Kap Luk School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision There is a growing trend of using Kinect depth sensor in various fields such as computer vision, UAV (Unmanned Aerial Vehicle), ground mobile robotic and medical. The main objective of this object is to explore the potential of Kinect as a measuring device. This report investigates the quality of two modes of depth data obtained by the Kinect sensor using Kinect for Windows SDK. Results show that the accuracy of depth measurement decreases with increasing distance to the sensor. The detectable range for normal depth stream is from about 0.8m to 4m and from about 0.5m to 9.7m to the sensor for extended depth stream. Normal depth stream is more accurate than extended depth stream from 0.8m to 4m. This report provides a reference to developers who want to use Kinect as a measuring device to decide whether Kinect is applicable to a specific problem. Bachelor of Engineering 2014-06-04T06:45:29Z 2014-06-04T06:45:29Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/61069 en Nanyang Technological University 49 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Liang, Xin
Microsoft kinect 3D depth data analysis
description There is a growing trend of using Kinect depth sensor in various fields such as computer vision, UAV (Unmanned Aerial Vehicle), ground mobile robotic and medical. The main objective of this object is to explore the potential of Kinect as a measuring device. This report investigates the quality of two modes of depth data obtained by the Kinect sensor using Kinect for Windows SDK. Results show that the accuracy of depth measurement decreases with increasing distance to the sensor. The detectable range for normal depth stream is from about 0.8m to 4m and from about 0.5m to 9.7m to the sensor for extended depth stream. Normal depth stream is more accurate than extended depth stream from 0.8m to 4m. This report provides a reference to developers who want to use Kinect as a measuring device to decide whether Kinect is applicable to a specific problem.
author2 Chan Kap Luk
author_facet Chan Kap Luk
Liang, Xin
format Final Year Project
author Liang, Xin
author_sort Liang, Xin
title Microsoft kinect 3D depth data analysis
title_short Microsoft kinect 3D depth data analysis
title_full Microsoft kinect 3D depth data analysis
title_fullStr Microsoft kinect 3D depth data analysis
title_full_unstemmed Microsoft kinect 3D depth data analysis
title_sort microsoft kinect 3d depth data analysis
publishDate 2014
url http://hdl.handle.net/10356/61069
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