Cox, Adam (2011) Stereo vision for webcams. [USQ Project]
This project describes the developmental process of creating and testing a webcam based image capture platform and library for determining the suitability of using webcams
for stereo vision. Research and development has taken place in the field of stereo vision for many years, however the costs involved with capture devices and computer hardware has limited the access to the field. This has led to the requirement of a low-cost image capture system that is capable of operating multiple capture devices simultaneously for the application of stereo vision.
The image capture software was developed in the Microsoft Windows operating system environment using the Microsoft DirectShow application programming interface to access
and capture video frames. The Camera Calibration Toolbox was used to perform webcam calibration and image rectification to the captured images. Stereo processing was then applied with the Dense Stereo algorithm developed by Abhijit Ogale. The stereo disparity results were analysed for accuracy and precision to determine the suitability of the webcam for stereo vision applications.
The outcome of the development and testing does confirm that webcams can be operated simultaneously and that they can provide a suitable platform for stereo vision. This outcome will increase the accessibility into the research of stereo vision, without the excessive costs that have previously been associated in this field.
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|Item Type:||USQ Project|
|Item Status:||Live Archive|
|Depositing User:||epEditor USQ|
|Faculty / Department / School:||Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering|
|Date Deposited:||10 Sep 2012 03:10|
|Last Modified:||03 Jul 2013 01:28|
|Uncontrolled Keywords:||webcam; stereo vision; dense stereo algorithm|
|Fields of Research :||09 Engineering > 0906 Electrical and Electronic Engineering > 090603 Industrial Electronics
09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
09 Engineering > 0906 Electrical and Electronic Engineering > 090601 Circuits and Systems
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