Download PRJ3-TemplateProgressOF - Computer Vision Center

Assignment 0X (dd/mm/yyyy)
JohnSmith, JohnSmith, JohnSmith, JohnSmith, JohnSmith.
PROGRESS PRESENTATION
Assignment description
•Color Depolarization of super-pixel artifacts
•Multifiltering of spectral Gaussians
•Decoloration of traffic lipids
      42
Master in Computer Vision and Artificial Intelligence mcvai.uab.es
Computer Vision Center and Institut d’Investigació en Ingel·ligencia Artificial
(Universitat Autònoma de Barcelona)
Assignment 0X (dd/mm/yyyy)
JohnSmith, JohnSmith, JohnSmith, JohnSmith, JohnSmith.
PROGRESS PRESENTATION
Exercise 1. LK and TV-L1 comparison
Results obtained, plots, ...
Propose an explanation of the performance observed
for each method in each of the 4 regions.
• Why the methods perform as they do ?
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Master in Computer Vision and Artificial Intelligence mcvai.uab.es
Computer Vision Center and Institut d’Investigació en Ingel·ligencia Artificial
(Universitat Autònoma de Barcelona)
Assignment 0X (dd/mm/yyyy)
JohnSmith, JohnSmith, JohnSmith, JohnSmith, JohnSmith.
PROGRESS PRESENTATION
Exercise 2. Pyramid Levels
Analyse the performance of LK and TV-L1 for pyramids of
1,2,4,8 and 16 levels: Tables, plots,
Propose a criterion to establish the minimal number of levels of
the pyramid for a given sequence.
Master in Computer Vision and Artificial Intelligence mcvai.uab.es
Computer Vision Center and Institut d’Investigació en Ingel·ligencia Artificial
(Universitat Autònoma de Barcelona)
Assignment 0X (dd/mm/yyyy)
JohnSmith, JohnSmith, JohnSmith, JohnSmith, JohnSmith.
PROGRESS PRESENTATION
Exercise 3. ρ Parameter
Study how the parameter rho affects the performance of the LK method.
Tables, plots, …
How ρ alters the optical flow computed ? Why ?
Master in Computer Vision and Artificial Intelligence mcvai.uab.es
Computer Vision Center and Institut d’Investigació en Ingel·ligencia Artificial
(Universitat Autònoma de Barcelona)
Assignment 0X (dd/mm/yyyy)
JohnSmith, JohnSmith, JohnSmith, JohnSmith, JohnSmith.
PROGRESS PRESENTATION
Exercise 4. Tune the parameters of TV-L1 to obtain a
good performance in the Enpeda sequence
Detail the tuning process and the results achieved.
Master in Computer Vision and Artificial Intelligence mcvai.uab.es
Computer Vision Center and Institut d’Investigació en Ingel·ligencia Artificial
(Universitat Autònoma de Barcelona)
Assignment 0X (dd/mm/yyyy)
JohnSmith, JohnSmith, JohnSmith, JohnSmith, JohnSmith.
PROGRESS PRESENTATION
Exercise 4. Propose a way to segment the vehicles
from the computed optical flow vectors.
Detail your approach
Master in Computer Vision and Artificial Intelligence mcvai.uab.es
Computer Vision Center and Institut d’Investigació en Ingel·ligencia Artificial
(Universitat Autònoma de Barcelona)
Assignment 0X (dd/mm/yyyy)
JohnSmith, JohnSmith, JohnSmith, JohnSmith, JohnSmith.
PROGRESS PRESENTATION
Optional Exercise. Proposal of Segmentation
Detail the implementation of your proposal.
Evaluate the results obtained
Master in Computer Vision and Artificial Intelligence mcvai.uab.es
Computer Vision Center and Institut d’Investigació en Ingel·ligencia Artificial
(Universitat Autònoma de Barcelona)