The research website of Dr Osian Haines, University of Bristol
I am a Research Assistant at the University of Bristol, studying Computer Vision (as part of the Visual Information Laboratory - www.bris.ac.uk/vi-lab)
I am now a research assistant working on a research prohject looking into bioinspired models for vision guided locomotion. More details to follow.
You-Do, I-Learn: Discovering Task Relevant Objects and their Modes of Interaction from Multi-User Egocentric Video
Dima Damen, Teesid Leelasawassuk, Osian Haines, Andrew Calway, Walterio Mayol-Cuevas
British Machine Vision Conference, September 2014 (BMVC '14)
download pdf (via bris.ac.uk)
This section gives a brief outline of my PhD work, on using single images to detect planes by learning from prior knowledge.
PhD Thesis: Interpreting the Structure of Single Images by Learning from Examples
Visual mapping using learned structural priors
Detecting planes and estimating their orientation from a single image
Estimating planar structure in single images by learning from examples
Estimating planar structure in single images by learning from examples - Technical Report
See also my list of publications on the Bristol Computer Science page: Osian Haines' publications or my Google Scholar Profile
I am planning to make as much of my code and data available as possible, so that people can make use of my research and perhaps replicate the results. The code will take some time to make ready; in the mean time some data sets are available, with limited annotation. These are .bmp images of urban scenes accompanied by text files describing the plane/non-plane locations.
Training Set ("University") ~430 images of planar and non-planar scenes Download .zip, 75MB
Test Set ("City" - totally independent of the trainign/cross-validation data set) Download .zip, 24MB
Explanation of data format for the dataset: TruthImagesReadme.txt
I have also worked as a teaching assistant on various courses, including the MSc Programming in C course (website), the Introduction to C++ service course for undergraduate engineering students(website), and more recently Tilo and Andrew's wonderful Image Processing and Computer Vision course (website)
Oscar's reference implementation for the Floodit assignment can be found here: floodit.c . If you are on the C course please have a look at this as it provides useful tips for how to code sensibly and robustly
Personal web page www.osianh.com
The Visual Information Laboratory www.bris.ac.uk/vi-lab