Checking date: 03/05/2022


Course: 2022/2023

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:




Objectives
With this subject it is tried that the student acquires basic knowledge that allow him to analyze and to desigh computer vision systems.
Skills and learning outcomes
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
Calendar of Continuous assessment
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 *
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The course syllabus may change due academic events or other reasons.