Image Analysis and Object Recognition

1. Organization, motivation, definition, application examples (slides, print)

2. Image representation, basic enhancement, binary images, thresholding, morphological operators
3. Boundaries, filling, hit-or-miss, thinning, thickening, connected components, region properties
4. Invariant descriptors, (non-)linear filtering, noise, local operators, Gaussian, image derivatives, Sobel
5. Laplacian, ...

5. Gaussian derivatives, GoG, LoG, DoG, edge detection, corner detection, interest point operator
6. Discrete 2D Fourier transform, FFT, spectrum, convolution theorem, filtering in frequency domain, ideal high- and low-pass filter, Butterworth

7. Hough transform, fitting of straight lines, line segments, circles with (un)known radius, generalized Hough transform, Fourier descriptors, normalization

8. Sliding window, template matching, image pyramids, Viola-Jones face detection, Haar features, integral images, boosting, classifier cascade, local image features
9. Scale invariant extraction, scale-space, unique feature description and matching, SIFT
10. Part-based voting, vocabulary tree, bag of visual words, ...

10. Segmentation, clustering, k-means
11. Mean shift, region growing, watershed, graph-cut segmentation, affinity matrix, normalized-cut, soft segmentation, grab-cut, ...

11. Pattern recognition systems, supervision, generalization
12. Deep learning for visual recognition, artificial neural networks, supervised convolutional nets
13. Classifiers, k-nearest neighbor, boosted decision tree, Bayesian decision theory, expectation maximization, support vector machine, summary

The first exercise class will take place on 17th of April.

All documents and further information can be found in the Moodle course Image Analysis and Object Recognition SoSe2025.

MATLAB primer (Mathworks, University of Florida)

Written repeat exam

• Date: February 28, 2025, 9:00 am
• Place: Seminar room H (Bauhausstraße 11)
• Auxiliary resources: none

Preparation material

• List of questions
• Old exam samples