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Titel
Framework for compressed sensing in time-of-flight based 3D imaging / by Christoph Wolf
VerfasserWolf, Christoph
Begutachter / BegutachterinnenHaltmeier, Markus
Betreuer / BetreuerinnenHaltmeier, Markus ; Schnass, Karin
ErschienenInnsbruck, 2016
Umfang91 Seiten : Illustratioen, Diagramme
HochschulschriftUniversität Innsbruck, Diplomarbeit, 2016
Datum der AbgabeFebruar 2016
SpracheEnglisch
DokumenttypMasterarbeit
Schlagwörter (EN)Time-of-Flight / ToF / Compressed / Sensing / CS / Time-of-Flight - ToF - Compressed - Sensing - CS
Schlagwörter (GND)ToF-Kamera / Komprimierte Abtastung / Bildverarbeitung / Dimension 3
URNurn:nbn:at:at-ubi:1-3609 Persistent Identifier (URN)
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Framework for compressed sensing in time-of-flight based 3D imaging [4.93 mb]
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Zusammenfassung (Englisch)

Our goal is to apply compressed sensing techniques in Time-of-Flight 3D imaging. This has the benefit of data size reduction by compressively measuring depth information. Through reducing the size of data, which may be transferred from the sensor to a computer or laptop, one makes it feasible to increase the resolution of the Time-of-Flight camera further. Thus, one can enhance the quality and precision of the acquired depth images by compressively measuring a scenery of interest via high resolution Time-of-Flight cameras. This is of interest, because by reducing data size using this method, one can effectively circumvent bottlenecks created by transfer rate limitations between storage or computing mediums.

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