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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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 |
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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 |
_version_ |
1772826602282942464 |