Site map

This curricular unit aims to give the students the ability to understand and apply some of the most recent advances in this rapid evolving field of Image Analysis and Recognition. This CU is based on a recommended textbook along with a list of selected original research papers in order to allow the students to follow the advances in the addressed topics. The main topics covered will allow the students to develop abilities and skills in: image segmentation, tracking, image registration, and object and pattern recognition and matching. The CU focuses on the use of the methods and techniques with potential for applications, such as visual inspection, document processing, biometrics and biomedical images.

 

1. Image Enhancement
2. From color to edges and textures
3. Segmentation
a. Clustering methods. Embedding local constrains. Mean Shift
b. Graphtheoretic clustering. Affinity measures. Graph Cuts. 4. Motion analysis
a. Background subtraction
b. Optical flow
c. Tracking using linear and nonlinear dynamical models.
5. Image Registration
a. Multi view geometry.
b. Strategies for image registration of rigid and nonrigid

objects.
c. Local invariant features and similarity measures.
6. Image Recognition a. Machine learning tools
b. Feature extraction and selection: i. Principal Component analysis. ii. Object and shape representation using invariant features.
c. Object modeling i. Active appearance models. ii. Constellation model and the Implicit Shape Model. iii. Bag of

visual term models.
d. Recognition examples

This curricular unit is organized in lectures, which include oral presentations and computer vision labs under supervised tutoring.

Distributed evaluation with final examination. (Formula for calculating the final grade: Grading and evaluation is based on the following scheme: Practical assignments: 60% (15% for each one of the 4 assignments).

Presentation of a selected research paper: (10%), Final examination: 30%. Grading will be from 0 to 20. A final passing grade in the CU corresponds to a minimum of 10.

Grading and evaluation is based on the following scheme: Practical assignments: 60% (15% for each one of the 4 assignments).

Presentation of a selected research paper: (10%)

Final examination: 30%

Grading will be from 0 to 20. A final passing grade in the CU corresponds to a minimum of 10.