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Imaging Outside The Box
Enhancing the Performance and Applicability of Time-of-Flight Sensors through Computational Sensing

dc.contributor.advisorHullin, Matthias B.
dc.contributor.authorCallenberg, Clara
dc.date.accessioned2022-12-12T15:39:12Z
dc.date.available2022-12-12T15:39:12Z
dc.date.issued12.12.2022
dc.identifier.urihttps://hdl.handle.net/20.500.11811/10516
dc.description.abstractTime-of-Flight (ToF) imaging, which allows to measure the time that light has taken to travel from a light source to a camera, is an increasingly relevant sensing modality. ToF imagers are used, for example, in smartphones, cars, virtual and augmented reality hardware and robotics, where they usually serve as depth sensors that allow to capture the shape of a three-dimensional scene or environment. This thesis explores two types of ToF imagers -- Amplitude-Modulated Continuous-Wave (AMCW) imagers and Single-Photon Avalanche Diode (SPAD) imagers -- and their capabilities to go beyond their designated and conventional purpose or use cases.
Multiple general difference imaging applications are demonstrated using AMCW imaging systems by coupling different types of active light sources with the ToF sensor and employing specific modulation signal patterns. Those applications include spatial and temporal gradient imaging, direct-global separation, bipolar color-matching functions and depth edge detection. Due to the implementation in AMCW ToF hardware, the difference images can be recorded in a single shot, and the difference between the two signals is taken during the exposure, effectively eliminating alignment issues in dynamic scenes and improving noise characteristics.
The spatial resolution of time-resolved SPAD image data is increased by computational sensor fusion with a CCD camera. An experimental setup using a single objective lens and beam splitter to image the same scene on both types of sensors is employed and a computational light transport model is presented that allows to reconstruct a full high-spatial-resolution transient image for LIDAR and FLIM applications.
Finally, a very low-cost and low-resolution SPAD sensor device that is commonly used in smartphones as proximity sensors, is used to demonstrate challenging computer vision tasks: depth imaging, material classification, and tracking of an object's position that is not in the direct line of sight of the sensor.
en
dc.language.isoeng
dc.rightsIn Copyright
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectTime-of-Flight Imaging
dc.subjectComputational Photography
dc.subjectSPAD
dc.subjecttransiente Bildgebung
dc.subjectLaufzeitmessung
dc.subjectLichtlaufzeit
dc.subjectBildsensoren
dc.subjectLIDAR
dc.subjectToF
dc.subjectDifferenzbilder
dc.subjectTransient Imaging
dc.subjectLight-in-Flight
dc.subjectDifference Imaging
dc.subject.ddc004 Informatik
dc.titleImaging Outside The Box
dc.title.alternativeEnhancing the Performance and Applicability of Time-of-Flight Sensors through Computational Sensing
dc.typeDissertation oder Habilitation
dc.publisher.nameUniversitäts- und Landesbibliothek Bonn
dc.publisher.locationBonn
dc.rights.accessRightsopenAccess
dc.identifier.urnhttps://nbn-resolving.org/urn:nbn:de:hbz:5-69055
dc.relation.doihttps://doi.org/10.1145/3130800.3130885
dc.relation.doihttps://doi.org/10.1038/s41598-021-81159-x
dc.relation.doihttps://doi.org/10.1145/3450626.3459824
ulbbn.pubtypeErstveröffentlichung
ulbbnediss.affiliation.nameRheinische Friedrich-Wilhelms-Universität Bonn
ulbbnediss.affiliation.locationBonn
ulbbnediss.thesis.levelDissertation
ulbbnediss.dissID6905
ulbbnediss.date.accepted04.11.2022
ulbbnediss.instituteMathematisch-Naturwissenschaftliche Fakultät : Fachgruppe Informatik / Institut für Informatik
ulbbnediss.fakultaetMathematisch-Naturwissenschaftliche Fakultät
dc.contributor.coRefereeKlein, Reinhard
ulbbnediss.contributor.orcidhttps://orcid.org/0000-0002-1304-8391
ulbbnediss.contributor.gnd1292826037


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