InvitedTalkCastanedaVictor2012

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Doctoral Defense by Victor Castaneda

Victor Castaneda

  • Date: Tuesday, March 27, 2012
  • Time: 10:00
  • Location: Room 03.13.010, FMI-Building, Garching, Boltzmannstr. 3

Constructive interference for Multi-view Time –of-flight acquisition

Abstract:

This thesis describes a novel method for acquiring depth images using multi-view Time of Flight (ToF) cameras, which uses a constructive interference between the emitted signals to enhance the depth accuracy. This work proposes to combine the measurements of the multi-view cameras at the acquisition level, in opposite to approaches that filter, calibrate or do 3D reconstructions posterior to the image acquisition. This work presents an example using a pair of ToF cameras in stereo-set-up defining a three-stages procedure, in which the infrared lighting of the scene is actively modified. This thesis also presents two applications of Monocular Simultaneous Localization and Mapping (MonoSLAM). The first application is using MonoSLAM in endoscopic images and the second one in a RGB-D sensor.

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Title: PhD? Defense of Victor Castaneda about Constructive interference for Multi-view Time–of-flight acquisition
Date: 27 March 2012
Location: Room 03.13.010, FMI-Building, Garching, Boltzmannstr. 3
Abstract: This thesis describes a novel method for acquiring depth images using multi-view Time of Flight (ToF) cameras, which uses a constructive interference between the emitted signals to enhance the depth accuracy. This work proposes to combine the measurements of the multi-view cameras at the acquisition level, in opposite to approaches that filter, calibrate or do 3D reconstructions posterior to the image acquisition. This work presents an example using a pair of ToF cameras in stereo-set-up defining a three-stages procedure, in which the infrared lighting of the scene is actively modified. This thesis also presents two applications of Monocular Simultaneous Localization and Mapping (MonoSLAM). The first application is using MonoSLAM in endoscopic images and the second one in a RGB-D sensor.
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