SubjectsSubjects(version: 806)
Course, academic year 2017/2018
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Computer vision and intelligent robotics - NPGR001
Czech title: Počítačové vidění a inteligentní robotika
Guaranteed by: Department of Software and Computer Science Education (32-KSVI)
Faculty: Faculty of Mathematics and Physics
Actual: from 2017
Semester: winter
E-Credits: 3
Hours per week, examination: winter s.:2/0 Ex [hours/week]
Capacity: unlimited
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Additional information:
Guarantor: prof. Ing. Václav Hlaváč, CSc.
Class: Informatika Bc.
Informatika Mgr. - volitelný
Classification: Informatics > Computer Graphics and Geometry
Annotation -
Last update: T_KSVI (12.04.2001)

The subject introduces methods of digital image processing and focuses more in detail to computer vision, where seen images are interpreted, observed in the 3D world or in motion. The pattern recognition tools will be briefly mentioned too and tasks of intelligent robotics will be formulated. The lectures correspond to two units (90 minutes) and no laboratory exercises will be organized.
Literature - Czech
Last update: prof. Ing. Václav Hlaváč, CSc. (02.10.2015)

  • Hlaváč V., Sedláček M. Zpracování signálů a obrazů, skriptum Elektrotechnické fakulty ČVUT, Vydavatelství ČVUT, 3. vydání. Praha 2009, 220 s.
  • Šonka M., Hlaváč V., Boyle R. Image processing analysis and machine vision, 4th edition, Cengage Learning, Toronto, Canada, 2014, 912 s.
  • Svoboda T., Kybic J., Hlaváč V. Image processing analysis and machine vision, A MATLAB companion, Thomson Learning, Toronto, Canada, 2007, 255 s. K dispozici jsou volně řešené příklady, viz

Syllabus -
Last update: prof. Ing. Václav Hlaváč, CSc. (26.09.2017)

Introduction - image processing, image analysis and computer vision. Digital image, image function and 2D image properties. Image formation and acquisition. Processing of images as 2D signals.s Image preprocessing. Segmenting objects in images and their descriptors. Mathematical morphology for image analysis. Overview of pattern recognition techniques. Motion analysis. Image compression. 3D vision, its geometry, 3D information from one and more cameras. Industrial applications of computer vision. Intelligent robotics integrating several disciplines. Overview of robot kinematics, statics and dynamics. Tasks and methods of intelligent robotics.

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