This learner has completed ID verification. Find out more.
Certificate of Achievement
has completed the following course:
Robotic Vision: Making Robots See
Queensland University of Technology (QUT)
In this course, you learnt the principles of image geometry, including homogeneous coordinates, image formation and planar homography. For the vision system project, you created functions in MATLAB to perform colour segmentation, detect blob shape and size, and find, apply and improve your homography matrix. You completed the course by creating the code for a complete vision system, and had the opportunity to integrate your vision system with an existing robotic arm.
3 weeks, 3 hours per week
Peter Corke
Professor of Robotic Vision and Director of the Australian Centre for Robotic Vision
Queensland University of Technology (QUT)
Transcript
Learning outcomes
- Apply your knowledge of computer vision to create a vision system
- Demonstrate basic coding in MATLAB for calibration, shape classification and workspace coordination
- Reflect on the success of your and your peers’ robotic vision systems
Syllabus
- homogeneous coordinates
- image formation
- planar homography
- colour segmentation
- blobs and their properties, such as size, shape and position
- homography matrices
- vision system integration (optional).
Issued on 28th November 2018
The person named on this certificate has completed the activities in the transcript above. For more information about Certificates of Achievement and the effort required to become eligible, visit futurelearn.com/proof-of-learning/certificate-of-achievement.
This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.