Course - Advanced Visual Perception Systems - TK8155
TK8155 - Advanced Visual Perception Systems
About
New from the academic year 2023/2024
Examination arrangement
Examination arrangement: Aggregate score
Grade: Passed / Not Passed
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Report | 50/100 | |||
| Oral exam | 50/100 | 20 minutes | D |
Course content
The course is given every second year, next time in autumn 2023. The course builds on the basic knowledge gained from the robotic vision course TTK4255 with a focus on motion estimation, non-linear estimation methods and object recognition, the underlying theoretic foundation, and implementation skills. The course is given in English.
Learning outcome
Scientific Contents:
* optimization, estimation, and uncertainty models for robotic vision systems
* motion estimation, optical flow, scene flow
* scene and place recognition
* dense, semi-dense, sparse matching
* shape priors and estimation
* pose estimation and tracking
* semantic scene understanding
* statistical models and uncertainties
* segmentation and fitting using probabilistic methods
* correspondence and pose consistency
* recognition by relations between templates
SKILLS:
* Proficiency in linear and non-linear estimation methods on image and video data, statistics, and probabilistic methods
* Proficiency in critical thinking and evaluation of disadvantages of different methods and approaches to make a qualified choice of methods for a given system
* Proficiency in designing motion estimation, and object recognition systems
GENERAL COMPETENCE:
* Skills in applying this knowledge and proficiency in new areas and completing advanced tasks and projects
* Skills in communicating extensive independent work, and mastering the technical terms of advanced visual perception techniques
* Ability to contribute to innovative thinking and innovation processes
Learning methods and activities
Study groups and optional problem sets. Project with report.
Recommended previous knowledge
TTK4255 Robotic Vision
TTK4250 Sensor Fusion
Required previous knowledge
TTK4115 Linear Systems Theory or similar.
Course materials
A collection of papers, which will be given at the beginning of the semester.
No
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2023
Language of instruction: English
Location: Trondheim
- Engineering Cybernetics
Department with academic responsibility
Department of Engineering Cybernetics
Examination
Examination arrangement: Aggregate score
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
-
Autumn
ORD
Report
50/100
Submission
2023-12-06
23:59 -
Room Building Number of candidates - Autumn ORD Oral exam 50/100 D
-
Room Building Number of candidates - Spring ORD Report 50/100 INSPERA
-
Room Building Number of candidates - Spring ORD Oral exam 50/100 D
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"