4th PAVIS School
Computer Vision, Pattern Recognition, and Image Processing
September 18-20, 2013 – Sestri Levante (GE), Italy
Large Scale Visual Recognition of Object Instances and Categories
The goal of this school is to introduce a number of state-of-the-art fundamental techniques in image understanding as well as to demonstrate the use of open source software to implement them in applications.
Theoretical aspects that will be covered include image representations suitable for registration, object instance, and object category matching (including regions of interest, local descriptors, descriptor metrics, quantisation, indexing, and histogramming) as well as machine learning techniques to train models for given object types (linear and non-linear large scale support vector machines and related kernel representations and optimisation methods).
Alternating with the theoretical sessions, in a series of guided experiments the students will explore how such ideas can be implemented in software by using MATLAB and open source libraries such as VLFeat.