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CM50249: Visual understanding 2

Academic Year: 2018/9
Owning Department/School: Department of Computer Science
Credits: 12      [equivalent to 24 CATS credits]
Notional Study Hours: 240
Level: Masters UG & PG (FHEQ level 7)
Period:
Semester 2
Assessment Summary: CW 100%
Assessment Detail:
  • CW1 (CW 100%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites: Before or while taking this module you must take CM50248
Undergraduate students selecting this unit should note the teaching structure
Description: Aims:
To understand and critically evaluate the fundamental and advanced aspects 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. Describe state-of-art techniques in mid-level and high-level computer vision.
2. Understand the relationship between the segmentation, classification and identification of images and video.
3. Explain the importance of Machine Leaning to Computer Vision.
4. Demonstrate the practical application of theory to experiment.

Skills:
Linear Algebra (TFA), Probability (TFA), Programming (TFA), Experimentation (TFA)

Content:
Segmentation by clustering: GMMs, mean-shift, graph-cuts, and Berkeley's segmentation algorithm.
Object Recognition: bag-of words, model fitting with AAMs, and DPMs.
Experimental assessment methods: PR curves, confusion matrices.
Applications of Computer Vision.
Programme availability:

CM50249 is Optional on the following programmes:

Department of Computer Science
  • RSCM-AFD05 : Doctor of Engineering (EngD) Digital Entertainment
  • TSCM-AFM37 : MSc Digital Entertainment
  • TSCM-AWM37 : MSc Digital Entertainment
  • 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:

  • This unit catalogue is applicable for the 2018/19 academic year only. Students continuing their studies into 2019/20 and beyond should not assume that this unit will be available in future years in the format displayed here for 2018/19.
  • Programmes and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Undergraduates: .
  • Postgraduates: .