Recent Results in Pattern Recognition and Computer Vision, Spring 2006

Course schedule

Course start:	Wednesday April 19, 2006 at 13:15. There will be five two-hour seminars during the period May 9 to June 13, 2006. See schedule below. The seminars will be held in the CBA seminar room.

Goal

The goal of the course is to widen the patricipants' knowledge in pattern recognition and computer vision.

Content

The content is selected chapters from the book Handbook of Pattern Recognition and Computer Vision, 3rd Edition, C. H. Chen and P. S. P. Wang, editors, World Scientific, 2005

Prior knowledge

The course is intended for PhD students in image analysis and related areas. 10 credits in image analysis are required.

Examination

• Attend all seminars actively, i.e., ask questions and take part in the discussions
• Study all chapters in the literature list
• For your chapter:
  • Study your chapter
  • Study the key references
  • Find and study one or two missing key references
  • Give a detailed oral presentation (appr. 30 minutes plus time for questions):
    • present contents (and extras)
    • present views (+/-)
    • discuss usefulness (within CBA research)

Course organizers

Seminars

Date	Time	Content	Presenter
Wednesday April 19	13:15-14:00	Course presentation, distribution of material	Gunilla Borgefors Ingela Nyström
		Study period
Tuesday May 23	13:15-15:00	2.4 Digital Distance Transforms in 2D, 3D, and 4D 2.3 Skeletonization in 3D Discrete Binary Images	Gunilla Borgefors Ingela Nyström
Tuesday May 30	13:15-15:00	2.5 Computing Global Shape Measures 2.6 Texture Analysis with Local Binary Patterns	Hamid Sarve Magnus Gedda
Thursday June 1	10:15-12:00	1.3 A New Kernel-based Formalization of Minimum Error Pattern Recognition 3.8 Multisensor Fusion with Hyperspectral Imaging Data: Detection and Classification	Maria Axelsson Patrick Karlsson
Thursday June 8	10:15-12:00	4.3 Palmprint Authentication System 4.4 Reconstruction of High-Resolution Facial Images for Visual Surveillance	Kristin Norell Filip Malmberg
Tuesday June 13	13:15-15:00	5.6 Auto-Detector: Mobile Automatic Number Plate Recognition 1.5 Pattern Recognition with Local Invariant Features	Suthakar Somaskandan Erik Vidholm
Extras	-	1.2 Hidden Markov Models for Spatio-temporal Pattern Recognition 3.7 Wavelet-Based Kalman Filtering in Scale Space for Image Fusion 5.2 Performance Evaluation of Image Segmentation Algorithms	-
		Course final

Suggestion for study

We suggest that the course participants meet informally a couple of times per week to discuss the studied material, especially during the study period (April 19 to May 23), but also throughout the course to better digest the material.

Welcome to the course!