5 ECTS module corresponds to about 100-125 hours of study time. This includes the several hours of lectures (30+ for undersgrads, 20+ for postgrads) organised on campus that students have to attend. Other sources of information are available to help you (e.g. online ressources such as webpages, videos, MOOCs, and books in TCD libraries). Be creative and independent to build up your skills!
Contacting the lecturer
A Discussion Forum is/will be opened online with Blackboard to post queries and is used as the primary tool for discussion on topics related to the course. Emails from students in my taught modules might be overlooked for logistic and time management reasons. If so, please ask questions during classes or flag this email to me directly at the end of the class.
Pattern detection, registration, recognition and segmentation - Motion flow and object tracking in video - Mathematics for computer vision
There are a lot of books in the Library that are relevant to the course. Online references and ressources available e.g.:
- Computer Vision: A modern approach, Forsyth and Ponce, Pearson 2012
Some relevant available books online:
- Computer Vision: Algorithms and Applications, Richard Szeliski, Springer 2010
- Deep Learning, I. Goodfellow et al., MIT 2016 press
Related courses in TCD:
- Course on Machine Learning with Applications in Media Engineering (EE4C16), by F. Pitié
- Lecture on Image and Video Compression (EE4C08), F. Pitié & A. Kokaram
It is advised to take notes in class. Scans of hand written lecturer 's notes during classes are available on Blackboard.
- W1: Introduction
- W7: Reading week
- Probabilistic visual learning for object representation, IEEE Trans. Pattern Analysis and Machine Intelligence (1997), DOI: 10.1109/34.598227
- Mean shift: a robust approach toward feature space analysis, IEEE Trans. Pattern Analysis and Machine Intelligence (2002), DOI: 10.1109/34.1000236
- Deep learning, Nature (2015), doi:10.1038/nature14539
- Continuous assessments