SUBJECT

Title

Image and Video Processing

Type of instruction

lecture+practical

Level

Master

Part of degree program
Credits

2+2+1

Recommended in

Semester 3

Typically offered in

Autumn semester

Course description

Image filtering, edge and corner detection. Scale-space and affine-invariant image features. Texture descriptors. Image thresholding and segmentation. Matching and correspondence. Hough Transform, RANSAC, robust procedures. Video processing. Optical flow. Motion detection, tracking and analysis.

Readings

Compulsory readings:

  • M.Sonka, V.Hlavac, R.Boyle, Image Processing, Analysis and Machine Vision, Thomson, 2008. Print ISBN: 978-0- 412-45570- 4, Online ISBN: 978-1- 4899-3216- 7.
  • R.Szeliski, Computer Vision: Algorithms and Applications, Springer, 2011,. ISBN: 978-1-84882-934- 3.

Recommended readings:

  • E.Trucco, A.Verri, Introductory Techniques for 3-D Computer Vision, Prentice Hall, 1998, ISBN: 978-0132611084.
  • Y.Ma, S.Soatto, J.Kosecka, S.S.Sastry, An Invitation to 3-D Vision: From Images to Geometric Models, Springer, 2004. ISBN: 978-0387008936.