I’m really pleased to be teaching computer vision this year. It’s the subject I research in, it’s what my PhD is in, and it’s my favourite part of computing. Challenging, mathematical, and very very visual. The previous lecturer (Fred Labrosse) is on sabbatical this year, and it’s great to take over from someone as good as Fred; the materials (blackboard, reading lists, slides) are all very thorough. So all I need to do is to update them to my style, shuffle the syllabus a bit, think about assessment, and make fancy videos demonstrating the algorithms we’ll be covering.
The International Workshop on Image Analysis Methods for the Plant Sciences will be held this year in Aberystwyth. The workshop is aimed at computer vision and image processing people working in the plant sciences, and plant science people doing work with images. I’m the co-chair, along with Marie Neal from the National Plant Phenomics Centre, Andrew French from Nottingham Computer Science and Susie Lydon from Nottingham’s Centre for Plant Integrative Biology. Key facts Abstract submission 1 Aug. Abstracts should be 2 pages max, PDF, submitted via CMT the conference submission site. Registration deadline 1 Sep. You can register online via EventBrite. Conference dates 15-16 Sep.
Last week we went out data collecting with my PhD student Max. Max is working on an airborne robot which can be used in navigation – floating above (say) a robot boat, and giving a top down view of surrounds. Out at Clarach bay, it was a bit misty. The plan was that I would play the role of the robot boat, whilst sat in the Aberystwyth University Robotics Group Kayak (yes it does exist) paddling back and forth. We’d then test the ability of the vision system to detect targets on the boat, and the control systems to do stuff with the motors. Unloaded
This is a quick writeup of some work in progress that might never actually progress any further… so I thought I’d put it out here just in case it’s interesting to anyone. If you think of colour as computer people do, you probably think of it as red, green and blue values. In digital images, colours go from 0 to 255 in the red, green and blue channels, with 0,0,0 being black, and 255,255,255 being white. 255,0,0 is bright red. 255,255,0 is yellow. And so on. We can think of colour this way making up the colour cube: here’s a video I have put together