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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2024/2025

Machine perception and image analysis

The course is not on the list Without time-table
Code Completion Credits Range Language
E371100 Z,ZK 5 2P+2C English
Garant předmětu:
Lecturer:
Tutor:
Supervisor:
Department of Instrumentation and Control Engineering
Synopsis:

We will introduce students to machine perception, a necessary prerequisite for building autonomous robots or machines. The subject prepares students for applying methods practically, also in the Industry 4.0 direction.

Requirements:
Syllabus of lectures:

•Machine perception, observations, percepts, and their interpretation. Role of the context and semantics.

•Digital image. Image acquisition, physical viewpoint. Inverse task and unusability.

•Image processing. Detection of edge elements.

•Image segmentation.

•Statistical pattern recognition. Role of learning.

•Image object description and their classification using statistical pattern recognition methods.

•3D vision, the geometry of one and more cameras. 3D reconstruction.

•Image acquisition hardware, depth maps, smart cameras.

•Computer vision applied in industry. Examples.

•Autonomous robots. World representation, its creation, and updates based on perception.

•Planning in autonomous robotics.

•Tactile feedback in robotics.

•Use of tactile and visual feedback in manipulation tasks.

•Cooperation of humans and robots in industry.

Syllabus of tutorials:
Study Objective:
Study materials:

•M. Sonka, V. Hlavac, R. Boyle, Image processing, analysis, and machine vision, Fourth edition. Stamford, CT, USA: Cengage Learning, 2015.

•R. Szeliski, Computer vision: algorithms and applications. London ; New York: Springer, 2011.

•Fahimi, F.: Autonomous Robots: Modeling, Path Planning, and Control, Springer 2009

Note:
Further information:
http://people.ciirc.cvut.cz/~hlavac/teaching/FS-StrojVnimAO/
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2024-03-29
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