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Event-based Robot Vision

Event-based Robot Vision SS2020

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Last updated on Sep 1, 2022
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Intro to the course Event-based Robot Vision (2020.04.21) at TU Berlin
26:47
How to acquire visual information?
11:08
Frame- vs Event-based cameras - the curious case of the spinning dot
9:00
Event cameras: Bio-inspired motivation - the visual pathways
11:18
Event cameras: Sampling in time vs in range
11:54
Event cameras: High Dynamic Range (HDR)
9:32
Event camera companies and devices (2020.04.27)
10:41
Event-based cameras: Advantages, Disadvantages and Challenges
9:22
Three main event camera designs
20:01
Color event cameras
11:13
Event-based Data Representation
28:04
Methods of Event Processing
18:31
Event Generation Models
13:45
Image Reconstruction from events - Direct Integration
8:03
Image Reconstruction - Timeline
11:24
Image Reconstruction Methods 2011-2014
12:28
Image Reconstruction Methods 2016-2017
18:56
Image Reconstruction Methods 2018 - 2020.05
15:06
Image Reconstruction - Discussion
14:22
Image reconstruction - Case Study BMVC 2014
21:15
Tracking blobs of events. Ingredients of the per-event processing paradigm
19:21
Tracking user-defined shapes with point sets
15:34
Feature Detection and Tracking with a DAVIS
15:46
Tracking motion-compensated event features
11:16
Data Association and EKLT tracker
23:18
Comparison of five event-based feature trackers
13:10
Introduction to optical flow
24:33
Optical Flow: Frame-based vs Event-based
15:11
Event-based Optical Flow: model-based methods
47:16
Event-based Optical Flow: learning-based methods and comparison
29:04
Exercise 3: setting up the event visualizer (dvs_displayer)
1:04
Exercise 4: event integrator (ordinary or "direct" integrator)
0:12
Exercise 4: event integrator ("leaky" integrator)
0:12
Exercise 5: result of spatial convolutions on synthetic event data
1:32
Exercise 5: result of spatial convolutions on real event data (slider_depth sequence)
1:00
Exercise 5: result of spatial convolutions on real event data (bicycle sequence)
0:51
Exercise 6: global optical flow estimation using contrast maximization on slider_far sequence
0:20
Exercise 7: panoramic image reconstruction with a rotating event camera (i.e., Mosaicing)
0:22
Exercise 7: panoramic image reconstruction with a rotating event camera (Mosaicing)
0:26