Measuring depth accuracy in RGBD cameras

Haggag, Hussein, Hossny, Mohammed, Filippidis, Despina, Creighton, Douglas, Nahavandi, Saeid and Puri, Vinod 2013, Measuring depth accuracy in RGBD cameras, in ICSPCS 2013 : Proceedings of the Signal Processing and Communication Systems 2013 International Conference, IEEE, Piscataway, NJ, pp. 1-7.

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Title Measuring depth accuracy in RGBD cameras
Author(s) Haggag, Hussein
Hossny, Mohammed
Filippidis, Despina
Creighton, Douglas
Nahavandi, Saeid
Puri, Vinod
Conference name Signal Processing and Communication Systems International Conference (7th : 2013 : Gold Coast, Qld)
Conference location Gold Coast, Qld.
Conference dates 16 - 18 Dec. 2013
Title of proceedings ICSPCS 2013 : Proceedings of the Signal Processing and Communication Systems 2013 International Conference
Editor(s) Sadeghi, Parastoo
Publication date 2013
Conference series Signal Processing and Communication Systems International Conference
Start page 1
End page 7
Total pages 7
Publisher IEEE
Place of publication Piscataway, NJ
Keyword(s) asus Xtion
depth Sensors
Microsoft Kinect
Summary This paper presents the comparison between the Microsoft Kinect depth sensor and the Asus Xtion for computer vision applications. Depth sensors, known as RGBD cameras,
project an infrared pattern and calculate the depth from the reflected light using an infrared sensitive camera. In this research, we compare the depth sensing capabilities of the two sensors under various conditions. The purpose is to give the reader a background to whether use the Microsoft Kinect or Asus Xtion sensor to solve a specific computer vision problem. The properties of the two depth sensors were investigated by conducting a series of experiments evaluating the accuracy of the sensors under various conditions, which shows the advantages and disadvantages of both Microsoft Kinect and Asus Xtion sensor.
Notes Article number 6723971
Language eng
Field of Research 080106 Image Processing
Socio Economic Objective 970101 Expanding Knowledge in the Mathematical Sciences
HERDC Research category E2 Full written paper - non-refereed / Abstract reviewed
Copyright notice ©2013, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30062604

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
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