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What and Who
Title:Challenges in Image-Based 3D Reconstructions
Speaker:Roland Angst
coming from:Max-Planck-Institut für Informatik - D4
Speakers Bio:
Event Type:Joint Lecture Series
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Date, Time and Location
Date:Wednesday, 7 October 2015
Duration:60 Minutes
Building:E1 5
Driven by the needs for various applications such as robotics, immersive augmented and virtual reality, digitization of archeological sites and landmarks, medical imaging, etc., the extraction of 3D geometry from images has become increasingly important in the last couple of years. The theory of multiple view geometry which relates images from different viewpoints dates back more than 100 years. However, in practice, e.g. due to imperfections of cameras or measuring noise, the required assumptions for this theory are often not met exactly which makes 3D computer vision inherently difficult. In my talk, I will first outline some of the challenges we are faced with and in the second part, I will focus on two of those challenges. Specifically, we will look into radial distortion estimation without calibration targets and dense 3D reconstructions for scenes where the rigidity assumption is violated. We will see how simple and very intuitive reasoning in geometric terms can provide the foundation for algorithms to tackle those challenges.
Name(s):Jennifer Müller
EMail:--email address not disclosed on the web
Video Broadcast
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  • Jennifer Müller, 09/01/2015 09:38 AM -- Created document.