Artificial Vision

Lecturer: Sergiu Nedevschi

 

Syllabus:

Introduction (Introducere)

Case studies 1 (Studii de caz 1))

Case studies 2 (Studii de caz 2)

Introduction in projective geometry (Elemente de geometrie proiectiva)

Epipolar Geometry (Geometria epipolara)

Stereovision (Principiile stereoviziunii)

Taxonomy and dense stereovizion (Taxonomia si stereoviziunea densa)

Corner detectors (Detectia colturilor)

SIFT / SURF features (Trasaturi de tip SIFT / SURF)

Optical flow(Fluxul optic)

Disparity based object detection (Prelucrarea imaginilor 3D pe baza disparitatilor)

Object detection from 3D point cloud (Detectia obstacolelor din imagin 3D)

Automatic semantic annotation of images (Adnotarea semantica automata a imaginilor)

Text books and references:

- E. Trucco, A. Verri, Introductory Techniques for 3-D Computer Vision, Prentice Hall, 1998

- D. Forsyth, J. Ponce, Computer Vision - A Modern Approach, Prentice Hall, 2003

- R. Gonzales, R. Woods, Digital Image Processing, Addison-Wesley, 2002

- Daniel Scharstein, Richard Szeliski, “A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms”, IJCV

- Heiko Hirschmuller, “Stereo Processing by Semiglobal Matching and Mutual Information”, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 30, no. 2, FEB 2008

- Raphael Labayrade and Didier Aubert, “In-vehicle obstacles detection and characterization by stereovision”, in ‘Proceedings the 1st International Workshop on In-Vehicle Cognitive Computer Vision Systems

- Zhencheng Hu, Francisco Lamosa and Keiichi Uchimura,”A Complete U-V-Disparity Study for Stereovision Based 3D Driving Environment Analysis”, in Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling, pp. 204-211

- Ciprian Pocol, Sergiu Nedevschi, Marc-Michael Meinecke, “Obstacle Detection Based on Dense Stereovision for Urban ACC Systems, WIT 2010, Hamburg, Germany

- IEEE Transactions on Pattern Analyses and Machine Intelligence

- IEEE Transactions on Intelligent Transportation Systems

- IEEE Transactions on Image Processing