{"id":560,"date":"2020-09-28T13:21:38","date_gmt":"2020-09-28T13:21:38","guid":{"rendered":"https:\/\/plenoptima.eu\/ts4\/?page_id=560"},"modified":"2023-10-03T13:22:33","modified_gmt":"2023-10-03T13:22:33","slug":"programme","status":"publish","type":"page","link":"https:\/\/plenoptima.eu\/ts4\/programme\/","title":{"rendered":"Programme"},"content":{"rendered":"\t\t
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Day 1 - Monday 2nd of October<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Lectures to be held in MAR 0.002 at TU Berlin<\/p>

Visualization<\/strong><\/p>

08:50 \u2013 09:00\u00a0\u00a0\u00a0Opening words, overview of the school training program, instructions about lab works, overview of social program, etc.<\/p>

09:00 \u2013 09:45 \u00a0 Lecture 1A<\/strong> (Robert Bregovic\u2013 Tampere University<\/em>): Visual Perception:\u00a0<\/strong>Vision and light, physiology of the human visual system, spatial vision, color vision, depth perception<\/p>

09:45 \u2013 09:50 \u00a0 Break<\/p>

09:50 \u2013 10:35 \u00a0 Lecture 1B<\/strong> (Robert Bregovic <\/em>\u2013 Tampere University<\/em>): Visual Perception<\/strong> – continued<\/p>

10:35 \u2013 11:00 \u00a0 \u00a0Coffee Break<\/p>

11:00 \u2013 11:45 \u00a0 Lecture 2A<\/strong>\u00a0(Sebastian Knorr \u2013 EAH Jena<\/em>): Fundamentals in stereoscopic 3D:<\/strong> Stereopsis, depth budget, frame violation, native pixel parallax, 3D comfort zone, perceived depth<\/p>

11:45 \u2013 11:50 \u00a0 Break<\/p>

11:50 \u2013 12:35 \u00a0 Lecture 2B<\/strong>\u00a0(Sebastian Knorr \u2013 EAH Jena<\/em>): Stereoscopic 3D display technology:<\/strong> active and passive techniques, auto-stereoscopic and multiview displays, binocular rivalry issues<\/p>

12:35 \u2013 14:00 \u00a0 Lunch Break<\/p>

14:00 \u2013 14:45 \u00a0 Lecture 3A<\/strong> (Erdem Sahin\u2013 Tampere University<\/em>): 3D and Light Field display technology:<\/strong> Vergence-accommodation-conflict, spatial multiplexing, time multiplexing, tensor display, holographic display of LFs, accommodation-invariant displays, perceptual modelling and design of LF displays<\/p>

14:45 \u2013 14:50 \u00a0 Break<\/p>

14:50 \u2013 15:35 \u00a0 Lecture 3B<\/strong>\u00a0(Erdem Sahin\u2013 Tampere University<\/em>): 3D and Light Field display technology<\/strong>\u00a0– continued<\/p>

15:35 \u2013 16:00 \u00a0 \u00a0Coffee Break<\/p>

16:00 \u2013 16:45 \u00a0 Lecture 4<\/strong>\u00a0(Tomas Sluka \u2013 CREAL<\/em>): Advances in Sequential Near-Eye Light Field Displays:<\/strong> Sequential light-field display by CREAL creates high-fidelity 3D imagery with correct monocular depth cues. It eliminates focal rivalry and vergence-accommodation conflict, while it is highly light-efficient and combines with classical prescription lenses. Contrary to widespread notion, light-field can also be equally computationally and data-efficient as conventional stereo displays. This talk will introduce why and how.<\/p>


Social programme: 18:30 City Boat Tour with Welcome Reception Dinner<\/strong><\/p>

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Day 2 - Tuesday 3rd of October<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Lectures to be held in MAR 0.002 at TU Berlin<\/p>

Visualization & Quality Assessment<\/strong><\/p>

09:00 \u2013 09:45 \u00a0 Lecture 1A<\/strong> (Elena Stoykova\u2013 Bulgarian Academy of Sciences<\/em>): Holography:<\/strong> Historic overview of holography, wave optics, holographic displays (challenges and development), 3D capture and 3D content creation for holographic displays, computer generated holograms, self-interference digital holography, holographic printing<\/p>

09:45 \u2013 09:50 \u00a0 Break<\/p>

09:50 \u2013 10:35 \u00a0 Lecture 1B<\/strong> (Elena Stoykova\u2013 Bulgarian Academy of Sciences<\/em>): Holography<\/strong> – continued<\/p>

10:35 \u2013 11:00 \u00a0 \u00a0Coffee Break<\/p>

11:00 \u2013 11:45 \u00a0 Lecture 2A<\/strong>\u00a0(Peter Lambert, Ghent University<\/em>): Real-time 6DoF rendering for kernel-based light field representations<\/strong>: A high-level overview of the Graphics Rendering Pipeline; short introduction to kernel-based representations for Light Fields, in particular SMoE; \u00a0\u2018normal\u2019\/mathematical way of rendering images using kernel-based representation; how can the kernel-based representation be mapped to concepts of the Graphics Rendering Pipeline, in particular how real-time rendering can be achieved.<\/p>

11:45 \u2013 11:50 \u00a0 Break<\/p>

11:50 \u2013 12:35 Lecture 2B<\/strong>\u00a0(Peter Lambert<\/em>): Real-time 6DoF rendering for kernel-based light field representations\u00a0– continued<\/p>

12:35 \u2013 14:00 \u00a0 Lunch Break<\/p>

14:00 \u2013 14:45 \u00a0 Lecture 3<\/strong>\u00a0(Kjell Brunnstr\u00f6m, Emin Z<\/em>erman – Mid Sweden University<\/i>): Overview & Data Collection for Quantitative Evaluation: <\/span><\/strong>What is quality, QoE, QoE vs. UX; What are user studies? How to do user studies? Ethics, GDPR, etc. Informed consent; Scales (ACR, Likert, 1-100, pairwise comparisons, etc.), rating, ranking, quantifying quality; Experiment setup (participant selection, biases, training, selection of methodologies, pilot test); Screening of test persons (visual acuity, color blindness, etc.); Lab tests vs. crowdsourcing; Things to consider for immersive technologies (Motion sickness susceptibility, Simulator sickness).<\/p>

14:45 \u2013 14:50 \u00a0 Break<\/p>

14:50 \u2013 15:35 \u00a0 Lecture 4<\/strong> (Kjell Brunnstr\u00f6m, Emin Z<\/em>erman – Mid Sweden University<\/i>):\u00a0Data Analysis for Quantitative Evaluation<\/span>: <\/span><\/strong>Things to do after data collection — Outlier rejection, MLE soft rejection; Descriptive statistics: Mean opinion score, SOS (std of opinion scores); Regression \u2013 linear regression, logistic regression;\u00a0Finding statistical significance.<\/span><\/span><\/strong><\/p>

15:35 \u2013 16:00 \u00a0 \u00a0Coffee Break<\/p>

16:00 \u2013 16:45 \u00a0 Lecture 5<\/strong> (Kjell Brunnstr\u00f6m, Emin Z<\/em>erman – Mid Sweden University<\/i>):\u00a0Qualitative Evaluation Methods<\/span>: <\/span><\/strong>Data collection (interviews, focus groups, observations, questionnaires etc.); How to select the right method?; Data analysis; Ethical considerations; Reporting findings.<\/p>

Social programme: Attendance of the German Unity Day celebration<\/strong><\/p>

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Day 3 - Wednesday 4th of October<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Lectures to be held in MAR 0.002 at TU Berlin<\/p>

Quality Assessment<\/strong><\/p>

09:00 \u2013 09:45 \u00a0 Lecture 1<\/strong> (Kjell Brunnstr\u00f6m, Emin Z<\/em>erman – Mid Sweden University<\/i>):\u00a0Combination of Qualitative and Quantitative Methods<\/span>: <\/span><\/strong>Why do we need to combine qualitative and quantitative methods? Specific designs: convergent\/parallel designs, explanatory sequential, exploratory sequential, transformative; When should mixed methods be used? Triangulation (using multiple data sources); Combining data; Analysis techniques; Reporting mixed findings.<\/p>

09:45 \u2013 09:50 \u00a0 Break<\/p>

09:50 \u2013 10:35 \u00a0 Lecture 2<\/strong> (Kjell Brunnstr\u00f6m, Emin Z<\/em>erman – Mid Sweden University<\/i>): Image\/Video Quality Metrics: <\/span><\/strong>Automatic quality estimation introduction – Full reference, RR, NR; Image quality vs. video quality; Analysing automatic quality estimation results<\/p>

10:35 \u2013 11:00 \u00a0 \u00a0Coffee Break<\/p>

11:00 \u2013 11:45 \u00a0 Exercises<\/strong> (Kjell Brunnstr\u00f6m, Emin Z<\/em>erman – Mid Sweden University<\/i>): Exercises for automatic visual quality estimation and for data analysis with python\/Matlab<\/strong><\/p>

11:45 \u2013 11:50 \u00a0 Break<\/p>

11:50 \u2013 12:30 \u00a0 \u00a0Wrap up, Discussion on TS outcomes <\/strong><\/p>

12:30 \u2013 14:00 \u00a0 Lunch Break<\/p>

14:00 \u2013 15:30 \u00a0Workshop opening words, Overview of planned work (15 minutes per group)<\/p>

15:30 – 16:00 \u00a0 (Coffee Break)<\/p>

15:30\u2013 17:00 \u00a0\u00a0 Setup and preparation of subjective tests<\/p>

Social programme: 19:00 Paint Ball and Dinner<\/strong><\/p>

We meet Ernst-Reuter-Platz\u00a0at 17:30 (precise location: Google maps<\/a><\/strong>)<\/span><\/p>

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Day 4 - Thursday 5th of October<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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The workshop will be held at the Communications Systems Department at TU Berlin (Building EN. 3rd floor)<\/p>

09:00 \u2013 10:30 \u00a0 Setup and preparation of subjective tests<\/strong><\/p>

10:30 \u2013 11:00 \u00a0 \u00a0(Coffee Break)<\/p>

10:30 \u2013 12:30 \u00a0 Preparation and execution of subjective tests<\/strong><\/p>

12:30 \u2013 13:30 \u00a0 Lunch Break<\/p>

13:30 \u2013 15:00 \u00a0 Preparation and execution of subjective tests<\/strong><\/p>

15:00 \u2013 15:30 \u00a0 (Coffee Break)<\/p>

15:00 \u2013 17:00 \u00a0 Evaluation\u00a0of subjective tests<\/strong><\/p>

Social programme: 19:00 \u00a0Dinner @ Solar Restaurant & Bar<\/strong><\/p>

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Day 5 - Friday 6th of October<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Lectures to be held in MAR 0.002 at TU Berlin. The workshop will be held at the Communications Systems Department at TU Berlin (Building EN. 3rd floor)<\/p>

09:00 \u2013 09:45 \u00a0 Lecture 1A<\/strong>\u00a0(Peter Eisert – Fraunhofer HHI\/ Humboldt University Berlin<\/em>): Rendering and Image Synthesis: From Classical Approaches to <\/strong>Neural Methods: <\/strong>This short course addresses different aspects of rendering and image synthesis. We will start with classical render approaches with rasterization methods as well as methods for support of global illumination aspects (e.g. raytracing or radiosity). In recent years, the classical approaches have been extended by deep learning based techniques that support neural rendering of scenes with very high quality. The second part of the course will therefore dive in into novel neural rendering aspects and describe methods using learned texture descriptions or neural radience fields.<\/p>

09:45 \u2013 09:50 \u00a0 Break<\/p>

09:50 \u2013 10:35 \u00a0 Lecture 1B<\/strong> (Peter Eisert – Fraunhofer HHI\/ Humboldt University Berlin<\/em>): Rendering and Image Synthesis: From Classical Approaches to <\/strong>Neural Methods<\/strong> – continued<\/p>

10:35 \u2013 11:00 \u00a0 \u00a0Coffee Break<\/p>

11:00 \u2013 13:00 \u00a0 Visit of the Innovation Center for Immersive Imaging Technologies & TiME Lab @ Fraunhofer HHI<\/strong><\/p>

13:00 \u2013 14:30 \u00a0 Lunch Break<\/p>

14:30 \u2013 16:30 \u00a0 Presentation of results<\/strong> (10 minutes per group) and wrap up of workshop<\/strong><\/p>

Social programme: 19:00 \u00a0Festival of Lights<\/strong><\/p>

\"\"<\/strong><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Day 1 – Monday 2nd of October Lectures to be held in MAR 0.002 at TU Berlin Visualization 08:50 \u2013 09:00\u00a0\u00a0\u00a0Opening words, overview of the school training program, instructions about lab works, overview of social program, etc. 09:00 \u2013 09:45 \u00a0 Lecture 1A (Robert Bregovic\u2013 Tampere University): Visual Perception:\u00a0Vision and light, physiology of the human […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"0","ocean_second_sidebar":"0","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"0","ocean_custom_header_template":"0","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"0","ocean_menu_typo_font_family":"0","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"0","footnotes":""},"class_list":["post-560","page","type-page","status-publish","hentry","entry"],"yoast_head":"\nProgramme | PLENOPTIMA<\/title>\n<meta name=\"description\" content=\"Find out the more about the latest outcomes of the H2020 PLENOPTIMA project here. 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