Advanced Pattern Recognition Methods (Year VI, 2-nd semester)
Mid-level
Vision
Segmentation by Clustering
Segmentation by Fitting a Model
Segmentation and Fitting using Probabilistic Methods
Tracking with Linear Dynamic Models
High-level
Vision: Geometric Methods
Model-Based Vision
Smooth Surfaces and their Outlines
Aspect Graphs
Range Data
High-level
Vision
Probabilistic and Inferential Methods
Finding Templates using Classifiers
Recognition by Relations between Templates
Geometric Templates from Spatial Relations
D.
Forsyth, J. Ponce, Computer Vision - A Modern Approach, Prentice Hall, 2003
E.
Trucco, A. Verri, Introductory Techniques for 3-D Computer Vision, Prentice
Hall, 1998
R.
Gonzales, R. Woods, Digital Image Processing, Addison-Wesley, 2002