Checking date: 09/04/2019


Course: 2019/2020

Computer image processing
(14926)
Study: Master in Robotics and Automation (77)
EPI


Coordinating teacher: ARMINGOL MORENO, JOSE MARIA

Department assigned to the subject: Department of Systems Engineering and Automation

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




Competences and skills that will be acquired and learning results.
With this subject it is tried that the student acquires basic knowledge that allow him to analyze and to desigh computer vision systems.
Description of contents: programme
1. Introduction - Applications - Elements 2. Bottom-up design - Image preprocessing - Edge detection - Region segmentation - Object description 3. To-down design - Rigid models - Deformable models - Optimization 4. Stereo Vision - Perspective projection - Camera calibration - Image rectification
Learning activities and methodology
Skillful classes, individual presentations of the students, individual tutorials and personal work of the student; oriented to the theoretical knowledge acquisition.
Assessment System
  • % end-of-term-examination 40
  • % of continuous assessment (assigments, laboratory, practicals...) 60
Basic Bibliography
  • Duda, R. O., Hart, P. E., and Stork, D. G.. Pattern Classification. John Wiley & Sons. 2000
  • Gonzalez, R. C. and Woods, R. E.. Digital Image Processing. Prentice Hall. 2007
  • Jain, R., Rangachar, K., and Schunk,. Computer Vision. McGraw-Hill.
  • Pratt, W. K. Digital Image Processing. Wiley Interscience.
  • Russ, J. C.. The Image Processing. Handbook CRC.
  • Shapiro, L. G. and Stockman. Computer Vision. Prentice-Hall.
Recursos electrónicosElectronic Resources *
Additional Bibliography
  • Baggio, Daniel Lélis. Mastering OpenCV with Practical Computer Vision Projects. Packt Publishing. 2012
  • Davies, E. R.. Computer and machine vision: theory, algorithms, practicalities. Elsevier. 2012
  • Gary Bradski, Adrian Kaehler. Learning OpenCV: Computer Vision with the OpenCV Library. O'Reilly Media. 2008
  • Margarita N. Favorskaya, Lakhmi C. Jain . Computer Vision in Control Systems-2. Springer. 2015
  • Nixon, Mark S.. Feature extraction & image processing for computer vision. Academic Press. 2012
Recursos electrónicosElectronic Resources *
(*) Access to some electronic resources may be restricted to members of the university community and require validation through Campus Global. If you try to connect from outside of the University you will need to set up a VPN


The course syllabus and the academic weekly planning may change due academic events or other reasons.