Selected Topics in Image Understanding

Termin(e)
Lecture /w Excercise

Tuesday: 5 pm - 7 pm and Thursday: 11 am - 1 pm (G29-307 and G29-K059)

Prof. Dr.-Ing. Klaus Tönnies, Tim König, Johannes Steffen

Pattern recognition in image analysis may be characterised as information labeling or information mapping. Pattern recognition techniques in image analysis are used for assigning a meaning to structures whose observed patterns are visible in images. The course covers statistical, syntactic and neural pattern recognition approaches.

Studienrichtungen:
Siehe LSF.

Credits: 6

Sprache: Englisch


Dokumente


Lecture Notes
23.03.2018PRIA01-Introduction.pdf
23.03.2018PRIA02-Edges-Corners-Superpixels.pdf
23.03.2018PRIA03-SIFT-SURF-MSER-HOG.pdf
23.03.2018PRIA04-Texture-and-Shape.pdf
23.03.2018PRIA05-Feature-Reduction.pdf
23.03.2018PRIA06-Bag-of-Visual-Words.pdf
23.03.2018PRIA07-Clustering.pdf
23.03.2018PRIA08-Statistical-Decision-Making-I-Generative-Models.pdf
23.03.2018PRIA09-Baysian-Decision-Making-II-Discriminative-Models.pdf
23.03.2018PRIA10-Multilayer-Perceptrons.pdf
23.03.2018PRIA11-Deep-Convolutional-Neural-Networks.pdf
31.05.2018PRIA12-Deep-Convolutional-Neural-Networks-Part-2.pdf
23.03.2018PRIA13-Generative-Models-and-Deep-Learning.pdf
Project Notes
31.05.2018Student-Project-2018.pdf