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Written by Tom SF Haines
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Friday, 20 August 2010 |
Well, I'm soon going to need to upload code for a research paper, so thought I would make a repository and put some stuff up now, in anticipation. Just to make it have some purpose in the interim I've dumped a decent support vector machine implementation of mine into the repository.
These days I have gone for a coding method where I use Python with inline C++, compliments of scipy.weave, which is quite unusual, though I'm fairly sure that is simply because everybody else is content using the closed monstrosity that is matlab. Given that I give a dam about openness and code quality that makes me want to vomit.
The repository can be found at http://code.google.com/p/haines/. |
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Written by Tom SF Haines
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Sunday, 16 May 2010 |
Well, my PhD is finished, other than some more paperwork and the ceremony, which means two things:
1) I have put my thesis online - you may download it here. Alternatively you can download it directly from the University of York, from here.
2) The complete source code for it is available. Actually, its been online for some time now, but I never announced it - just added a link to the links section. But you can obtain it all from here.
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Last Updated ( Monday, 24 May 2010 )
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Written by Tom SF Haines
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Tuesday, 07 October 2008 |
Well, next week is the European Conference on Computer Vision, and as I am presenting there it is time to put up the relevant stuff.
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Last Updated ( Monday, 01 December 2008 )
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Read more...
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Written by Tom SF Haines
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Saturday, 15 September 2007 |
I've finally had a paper published, so thought I better put it up. I had to do a poster session, so I've also put up the poster; this is mainly because unlike the actual paper I had space for a diagram showing data flow, which makes things marginally easier to understand.
As a quick summary the paper is dealing with the combining of stereopsis and shape from shading, using Gaussian belief propagation for the core component. Its rather esoteric, and the approach as a whole is not exactly simple. But the core algorithm and ideas are not that hard really - I don't think a simpler working approach to this problem is that likely. Of course, the usefulness is rather limited as its constrained by the limitations of both approaches, but it is (I hope) a small but valid step to something actually useful.
Integrating Stereo with Shape-from-Shading derived Orientation Information [PDF].
Poster of above [PDF].
It may be found in the British Machine Vision Conference 2007, Vol. 2, pp 910-919. The BMVC website will also have a copy, incase there is a problem with my website.
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Last Updated ( Tuesday, 29 September 2009 )
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