Global ETD Search

31	A probabilistic framework for real-time head shape detection and tracking Yuk, Shun-cho, Jacky., 郁順祖. January 2007 (has links) published_or_final_version / abstract / Computer Science / Master / Master of Philosophy Computer vision.
32	The effect of light quality on avian behaviour and welfare Maddocks, Samantha Annice January 2001 (has links) No description available. 590 Vision
33	Spatial properties of scotopic sensitivity Fitzke, Frederick William January 1985 (has links) No description available. 610 Vision
34	Computer registration and processing of retinal images Jagoe, John Roger January 1995 (has links) No description available. 571.4 Vision
35	Endogenous control in the preview benefit : the 'how' and 'what' of visual marking Kunar, Melina Arianne January 2002 (has links) No description available. 152 Vision
36	Attention-focusing artificial neural networks for image analysis Barker, Stuart E. January 2000 (has links) No description available. 621.3994 Vision
37	Extra-classical receptive field mechanisms in the lateral geniculate nucleus Webb, Ben Sebastian January 2003 (has links) No description available. 612 Vision
38	Subspace Bootstrapping and Learning for Background Subtraction Hughes, Kevin 08 August 2013 (has links) A new background subtraction algorithm is proposed based on using a subspace model. The key components of the algorithm include a novel method for initializing the subspace and a robust update framework for continuously learning and improving the model. Unlike traditional subspace techniques the proposed approach does not require supervised or lengthy training data upfront, but instead is bootstrapped using a single background frame and exploiting spatial information in place of temporal data to generate pixel statistics for the model. The update framework allows for intelligently updating the model and re-initialization if required as determined by the algorithm. Experimental results indicate that the proposed subspace algorithm out performed traditional subspace approaches and was comparable to and sometimes better than leading standard pixel-based techniques on several standard background subtraction data sets. / Thesis (Master, Electrical & Computer Engineering) -- Queen's University, 2013-08-07 15:42:26.205 Computer Vision
39	Relationship between illumination levels and visual performance, and the effect of age on visual performance Pangrekar, Abhay January 2011 (has links) Digitized by Kansas Correctional Industries Lighting Vision
40	Experiments in object tracking in image sequences Law, Albert. January 2007 (has links) No description available. Computer vision.

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