Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/61069
Title: Microsoft kinect 3D depth data analysis
Authors: Liang, Xin
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2014
Abstract: 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.
URI: http://hdl.handle.net/10356/61069
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
Liang Xin_FYP Report.pdf
  Restricted Access
Microsoft Kinect 3D Depth Data Analysis1.47 MBAdobe PDFView/Open

Page view(s) 50

116
checked on Oct 21, 2020

Download(s) 50

10
checked on Oct 21, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.