{"id":560,"date":"2020-09-28T13:21:38","date_gmt":"2020-09-28T13:21:38","guid":{"rendered":"https:\/\/plenoptima.eu\/ts1\/?page_id=560"},"modified":"2022-03-29T14:49:40","modified_gmt":"2022-03-29T14:49:40","slug":"programme","status":"publish","type":"page","link":"https:\/\/plenoptima.eu\/ts1\/programme\/","title":{"rendered":"Programme"},"content":{"rendered":"\n

Day 1<\/strong> \u2013 Monday, 21st<\/sup> of March<\/strong><\/h2>\n\n\n\n

Lectures to be held in P\u00e4\u00e4talo Auditorium D11, Tampere University, City Centre campus<\/p>\n\n\n\n

Signal Processing<\/strong><\/p>\n\n\n\n

8:50 \u2013 9:00   Opening words, overview of the school training program, instructions about lab works, overview of social program, etc.<\/p>\n\n\n\n

9:00 \u2013 10:00   Lecture 1A<\/strong> (Alessandro Foi \u2013 Tampere University<\/em>): Basics of vector-space formalism for linear approximations: from orthonormal bases to redundant frames for global and local weighted least-squares approximations. Coupled frames and principled design of operators and (convolution) kernels for the interpolation, resampling, smoothing, and differentiation of regularly and irregularly sampled data. Matlab assignment: Convolution kernels for multivariate differentiation.<\/p>\n\n\n\n

10:00 \u2013 10:20   Coffee Break<\/p>\n\n\n\n

10:20 \u2013 11:20   Lecture 1B<\/strong> (Alessandro Foi \u2013 Tampere University<\/em>): continuation of Lecture 1A<\/p>\n\n\n\n

11:20 – 11:30 Break<\/p>\n\n\n\n

11:30 \u2013 12:40   Lecture 2<\/strong> (Giacomo Boracchi \u2013 Politecnico di Milano<\/em>): Redundant representations and Sparse Coding (Minimum l<\/em>0<\/sup> norm). Sparse Coding w.r.t redundant dictionaries. Greedy Algorithms: Matching Pursuit, Orthogonal Matching Pursuit. Matlab assignment: Minimum l<\/em>0<\/sup> norm sparse coding<\/p>\n\n\n\n

12:40 \u2013 13:40   Lunch Break<\/p>\n\n\n\n

13:40 \u2013 14:50   Lecture 3<\/strong> (Giacomo Boracchi \u2013 Politecnico di Milano<\/em>): Dictionary Learning. Dictionary Learning Algorithms: Gradient Descent, MOD, KSVD. Matlab assignment: Dictionary learning<\/p>\n\n\n\n

14:50 \u2013 15:10   Coffee Break<\/p>\n\n\n\n

15:10 \u2013 16:20   Lecture 4<\/strong> (Giacomo Boracchi \u2013 Politecnico di Milano<\/em>): Convex Relaxation of the Sparse Coding Problem (Minimum l<\/em>1<\/sup> norm). Sparse coding as a convex optimization problem, connections with minimum l<\/em>0<\/sup> solutions. BPDN and the LASSO, the two formulation and promoting l<\/em>1<\/sup> sparsity as a regularization prior in linear regression. Other norms promoting sparsity: visual intuition.<\/p>\n\n\n\n

Social programme: 18:00 Dinner in Finlayson Palace
<\/strong><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Day 2<\/strong> \u2013 Tuesday, 22nd <\/sup>of March<\/strong><\/h2>\n\n\n\n

Lectures to be held in Tampere University, Hervanta campus, lecture room TB109
Demos \/ Exercises to be held in Hervanta campus, meeting room SL401<\/p>\n\n\n\n

Physics and Optics<\/strong><\/p>\n\n\n\n

9:00 \u2013 9:40   Lecture 1<\/strong> (Giacomo Boracchi \u2013 Politecnico di Milano<\/em>): Minimum l<\/em>1<\/sup> Sparse Coding Algorithms: Iterative Soft Thresholding. <\/p>\n\n\n\n

9:40 \u2013 9:45   Break<\/p>\n\n\n\n

9:45 \u2013 10:30   Lecture 2<\/strong> (Giacomo Boracchi \u2013 Politecnico di Milano<\/em><\/em>): Minimum l<\/em>1<\/sup> Sparse Coding Algorithms: Iterative Reweighted Least Squares. Matlab assignment: Minimum l<\/em>1<\/sup> norm sparse coding<\/p>\n\n\n\n

10:30 \u2013 10:50   Coffee Break<\/p>\n\n\n\n

10:50 \u2013 11:30   Lecture 3<\/strong> (Humeyra Caglayan \u2013 Tampere University<\/em>): Fourier Approach to Wave Propagation<\/p>\n\n\n\n

11:30 \u2013 11:35   Break<\/p>\n\n\n\n

11:35 \u2013 12:20   Lecture 4<\/strong> (Humeyra Caglayan \u2013 Tampere University<\/em>): Approximations: Ray optics, Fresnel and Fraunhofer Di\ufb00raction<\/p>\n\n\n\n

12:20 \u2013 13:20   Lunch Break<\/p>\n\n\n\n

13:20 \u2013 14:05  Lecture 5<\/strong> (Humeyra Caglayan \u2013 Tampere University<\/em>): Imaging: Coherent, incoherent imaging, PSF, MTF<\/p>\n\n\n\n

14:05 \u2013 14:35   Coffee Break<\/p>\n\n\n\n

14:35 \u2013 16:15   Demo\/Exercise<\/strong> (Humeyra Caglayan<\/em><\/em> \/ Erdem Sahin \u2013 Tampere University<\/em>) combined with Lab visit<\/p>\n\n\n\n

Social programme: ~18:00 Finlayson Escape Room + ~19:45 Dinner in pizzeria Luca
<\/strong><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Day 3<\/strong> \u2013 Wednesday, 23rd<\/sup> of March<\/strong><\/h2>\n\n\n\n

Lectures to be held in Scandic City, lecture hall Ratina 1\u20132<\/p>\n\n\n\n

Multi-view Geometry and Light Field Imaging<\/strong><\/p>\n\n\n\n

9:00 \u2013 09:40   Lecture 1<\/strong> (Sebastian Knorr \u2013 Ernst Abbe University of Applied Sciences Jena<\/em>): Multi-view geometry. Transformations. Homography. Camera motions. Epipolar geometry.<\/p>\n\n\n\n

09:40 \u2013 09:50   Break<\/p>\n\n\n\n

09:50 \u2013 10:30   Lecture 2<\/strong> (Sebastian Knorr \u2013 Ernst Abbe University of Applied Sciences Jena<\/em>): 3D reconstruction from two views. Features. F-matrix. Rectification. Structure from Motion.<\/p>\n\n\n\n

10:30 \u2013 11:00   Coffee Break<\/p>\n\n\n\n

11:00 \u2013 11:40   Exercise 1A <\/strong>(Sebastian Knorr \u2013 Ernst Abbe University of Applied Sciences Jena<\/em><\/em>): Matlab exercise on multi-view geometry<\/p>\n\n\n\n

11:40 \u2013 11:50   Break<\/p>\n\n\n\n

11:50 \u2013 12:30   Exercise 1B<\/strong> (Sebastian Knorr \u2013 Ernst Abbe University of Applied Sciences Jena<\/em><\/em>): Matlab exercise on multi-view geometry<\/p>\n\n\n\n

12:30 \u2013 13:30   Lunch Break<\/p>\n\n\n\n

13:30 \u2013 14:30   Lecture 3<\/strong> (Erdem Sahin \u2013 Tampere University<\/em>): Physically realizable light field; how to relate rays to waves<\/p>\n\n\n\n

14:30 \u2013 14:40 Break<\/p>\n\n\n\n

14:40 \u2013 15:25   Exercise 2<\/strong> (Alessandro Foi and Giacomo Boracchi<\/em>): Individual work on Matlab assigments<\/p>\n\n\n\n

15:25 \u2013 15:40   Coffee Break<\/p>\n\n\n\n

Social programme: Outdoor activity (depending on the weather)
<\/strong><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Day 4<\/strong> \u2013 Thursday, 24th<\/sup> of March<\/strong><\/h2>\n\n\n\n

Lectures to be held in Maisansalo<\/p>\n\n\n\n

Signal-Dependent and Correlated Noise in Imaging<\/strong><\/p>\n\n\n\n

8:15 \u2013 9:00      Joint transportation from Scandic City to Maisansalo<\/p>\n\n\n\n

9:00 \u2013 09:45     Lecture 1<\/strong> (Alessandro Foi \u2013 Tampere University<\/em>): Signal-dependent noise models; one-parameter families of distributions; heteroskedasticity; white vs colored noise; variance function, response function<\/p>\n\n\n\n

09:45 \u2013 09:55 Break<\/p>\n\n\n\n

09:55 \u2013 10:40   Lecture 2<\/strong> (Alessandro Foi \u2013 Tampere University<\/em>): Noise models for raw data.<\/p>\n\n\n\n

10:40 \u2013 11:00   Coffee Break<\/p>\n\n\n\n

11:00 \u2013 11:45   Lecture 3<\/strong> (Alessandro Foi \u2013 Tampere University<\/em>): Estimation of noise-model parameters; theoretical aspects; methods for noise variance-mean curve estimation and fitting; estimation under saturation and clipping. Models for correlated signal-dependent noise.<\/p>\n\n\n\n

11:45 \u2013 11:55   Break<\/p>\n\n\n\n

11:55 \u2013 12:40   Lecture 4<\/strong> (Alessandro Foi \u2013 Tampere University<\/em>): Variance stabilization; variance stabilizing transformations (VST); inverse VSTs; application to image restoration.<\/p>\n\n\n\n

12:40 \u2013 14:00   Lunch Break<\/p>\n\n\n\n

14:00 \u2013 15:30   Discussion and feedback on the Matlab exercises (Alessandro Foi, Giacomo Boracchi<\/em>)<\/p>\n\n\n\n

15:30 \u2013 16:00   Panel Discussion on School Outcomes (Atanas Gotchev<\/em>)<\/p>\n\n\n\n

Social programme: Sauna and dinner in Maisansalo<\/strong><\/p>\n\n\n\n

21:15 \u2013 22:00   Joint transportation from Maisansalo to Scandic City<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Day 5 (ONLINE) \u2013 Wednesday, 30th<\/sup> of March<\/strong><\/h2>\n\n\n\n

09:00 \u2013 09:55 (CET) Lecture 1<\/strong> (Donald Dansereau, University of Sydney<\/em>): Introduction to Light Fields (LF): Light as a field, parameterizations, visualizations, sampling & calibration. A simple interpolating renderer.<\/p>\n\n\n\n

10:00 \u2013 10:30 (CET) Exercise 1 <\/strong>(Donald Dansereau, University of Sydney<\/em>): Guided hands-on handling LFs in MatLab: Live demonstration of loading and visualising a LF in Matlab. Distribution of take-home exercises (programming own interpolating renderer). <\/p>\n\n\n\n

10:15 \u2013 11:15 (CET) (optional) Assistance for getting started on the assignment. (Donald Dansereau, University of Sydney<\/em>)<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Day 6 (ONLINE) \u2013 Thursday, 31th<\/sup> of March<\/strong><\/h2>\n\n\n\n

09:00 \u2013 9:55 (CET) Lecture 1<\/strong> (Donald Dansereau, University of Sydney<\/em>): Key characteristics \/ capabilities: Parallax, LFs in the frequency domain, basic EPI image analysis. (Donald Dansereau, University of Sydney<\/em>)<\/p>\n\n\n\n

10:00 \u2013 10:30 (CET) Exercise 1<\/strong> (Donald Dansereau, University of Sydney<\/em>): Guided exercise review: Interpolating renderer solution. (Donald Dansereau, University of Sydney<\/em>)<\/p>\n\n\n\n

End of the Training School<\/em><\/p>\n\n\n\n

<\/p>\n\n\n\n

<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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