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PROGRESS PRESENTATION

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.

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PROGRESS PRESENTATION

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  1. 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 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)

  2. 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 ? • kjlkjlk 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)

  3. 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)

  4. 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)

  5. 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)

  6. 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)

  7. 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)

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