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CM50248: Visual understanding 1

Follow this link for further information on academic years Academic Year: 2018/9
Further information on owning departmentsOwning Department/School: Department of Computer Science
Further information on credits Credits: 6      [equivalent to 12 CATS credits]
Further information on notional study hours Notional Study Hours: 120
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Semester 1
Further information on unit assessment Assessment Summary: CW 100%
Further information on unit assessment Assessment Detail:
  • CW1 (CW 100%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites: Undergraduate students selecting this unit should note the teaching structure
Further information on descriptions Description: Aims:
To understand the fundamentals of Computer Vision and be equipped with the skills needed to specify and undertake an independent project.

Learning Outcomes:
Upon completion of this unit students will be able to:
1. Apply techniques in low-level vision, linear and non-linear filtering, feature extraction and description.
2. Understand visual modelling of geometry and appearance, and techniques for estimation and inference from images.
3. Assimilate current work in the field and devise an independent research area.
4. Plan and execute a research and development project and evaluate this in the context of the state-of-the-art.

Skills:
Linear Algebra (tfa), Probability (tfa), Geometry (tfa), Programming and Development (tfa).

Content:
Image Formation, Image Processing, Linear Filtering, Gradients, Blurring, Scale-Space and Pyramids. Image Features, Corners, Lines, Blobs, Harris, Canny. Descriptors, SIFT. Projection, Planar and Epipolar Geometry. Image Stitching and SFM. RANSAC, Bundle Adjustment. Dense Matching. Stereo and Optical Flow. Introduction to Object Recognition, Introduction to Learning for Vision.
Further information on programme availabilityProgramme availability:

CM50248 is Compulsory on the following programmes:

Department of Computer Science

CM50248 is Optional on the following programmes:

Department of Computer Science
  • USCM-AFM01 : MComp(Hons) Computer Science (Year 4)
  • USCM-AAM02 : MComp(Hons) Computer Science with Study year abroad (Year 5)
  • USCM-AKM02 : MComp(Hons) Computer Science with Year long work placement (Year 5)
  • USCM-AFM14 : MComp(Hons) Computer Science and Mathematics (Year 4)
  • USCM-AAM14 : MComp(Hons) Computer Science and Mathematics with Study year abroad (Year 5)
  • USCM-AKM14 : MComp(Hons) Computer Science and Mathematics with Year long work placement (Year 5)

Notes: