Machine perception and image analysis
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
2371100 | Z,ZK | 5 | 2P+2C | Czech |
- Course guarantor:
- Václav Hlaváč
- Lecturer:
- Václav Hlaváč, Cyril Oswald
- Tutor:
- Václav Hlaváč, Cyril Oswald, Adam Peichl
- 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 practically applying methods in the Industry 4.0 direction.
- Requirements:
- Syllabus of lectures:
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•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, 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:
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•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/
- Time-table for winter semester 2024/2025:
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06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Wed Thu Fri - Time-table for summer semester 2024/2025:
- Time-table is not available yet
- The course is a part of the following study plans: