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27 February 2015 An auto focus framework for computer vision systems
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Proceedings Volume 9405, Image Processing: Machine Vision Applications VIII; 94050W (2015)
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Capturing a clean video from a source camera is crucial for accurate results of a computer vision system. In particular, blurry images can considerably affect the detection, tracking and pattern matching algorithms. This paper presents a framework to apply quality control by monitoring captured video with the ability to detect whether the camera is out of focus or not, thus identifying blurry defective images and providing a feedback channel to the camera to adjust the focal length. The framework relies on the use of a no reference objective quality metric for the loopback channel to adjust the camera focus. The experimental results show how the framework enables reduction of unnecessary computations and thus enabling a more power efficient cameras.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nijad Anabtawi and Rony M. Ferzli "An auto focus framework for computer vision systems", Proc. SPIE 9405, Image Processing: Machine Vision Applications VIII, 94050W (27 February 2015);


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