On-Line Tutorials
- 3D Modelling From Images
- AI - a few pointers
- Cognitive Computer Vision Course (link)
- Computer Vision -- A modern approach (Forsyth and Ponce)
- Colour
- Colour spaces
- CVonline - a compendium of Computer Vision information (link)
- Decision forests
- Gamma correction
- Gaussian Processes
- Hidden Markov Models (Rabiner); also Philip Jackson's HMM seminar slides
- Hypermedia Image Processing Reference (Edinburgh) (link)
- Image Reconstruction Error for Optical Flow (ps)
- Information Theory, Inference, and Learning Algorithms (MacKay)
- Mahalanobis distance
- Markov Random Field Modeling in Computer Vision (link)
- Mathematical Methods for Robotics and Vision - has much of the basic maths we need for computer vision and pattern recognition
- Mathematical morphology; more links here
- Maths for image processing / computer vision
- Maths reference - everything (almost) you need to know about mathematics (link)
- Mike Alder's Pattern Recognition
- Model Fitting and Optimisation in RAVL (talk). Also abstract
- Multiple View Geometry in Computer Vision (2nd ed.) - Hartley & Zisserman - non-searchable jpeg version
- MUSCLE: State-of-the-art reports from the MUSCLE Network of Excellence
- Reproducible results - making your research results reproducible
- Spoken Language Processing: Theory, Algorithm, and System Development, including HMMs
- UML Specification
- Links1, 2 from George Matas
IAPR researcher and student resources
Bill Christmas Last modified: Tue Jun 28 15:45:49 BST 2016