Select Git revision
sandbox.bib
sandbox.bib 23.13 KiB
@online{uc_davis_augmented_2016,
title = {Augmented Reality Sandbox},
url = {https://arsandbox.ucdavis.edu/},
titleaddon = {{UC} Davis Augmented Reality Sandbox},
author = {{UC Davis}},
urldate = {2020-08-13},
date = {2016},
langid = {american},
file = {Snapshot:/home/simon/Zotero/storage/NR24WM4S/arsandbox.ucdavis.edu.html:text/html}
}
@online{universal_terminal_systems_llc_augmented_nodate,
title = {Augmented reality sandbox {\textbar} Award-winning, certified {\textbar} Ships internationally},
url = {http://ar-sandbox.com/},
abstract = {3D interactive sandbox for education, entertainment, therapy. 25 interactive modes: topography, contour lines, rivers, volcanoes. You can use your hardware.},
titleaddon = {ar-sandbox.com},
author = {{Universal Terminal Systems (LLC)}},
urldate = {2020-08-13},
langid = {american},
file = {Snapshot:/home/simon/Zotero/storage/7SRREIEW/ar-sandbox.com.html:text/html}
}
@online{uc_davis_augmented_2016-1,
title = {Augmented Reality Sandbox},
url = {https://arsandbox.ucdavis.edu/},
titleaddon = {{UC} Davis Augmented Reality Sandbox},
author = {{UC Davis}},
urldate = {2020-08-13},
date = {2016},
langid = {american},
file = {Snapshot:/home/simon/Zotero/storage/Q3FQAE52/arsandbox.ucdavis.edu.html:text/html}
}
@online{michele_brusasca_jean_2012,
title = {Jean Nouvel Design},
url = {https://www.figurasfondo.fr/maquette-darchitecture-en-carton-gris/},
titleaddon = {Atelier Figura/Sfondo},
author = {{Michele Brusasca}},
urldate = {2020-08-13},
date = {2012-03-26},
langid = {french},
note = {Section: Maquettes d'architecture},
file = {Snapshot:/home/simon/Zotero/storage/BBXV7F25/maquette-darchitecture-en-carton-gris.html:text/html}
}
@online{uc_davis_hardware_2016,
title = {Hardware – Augmented Reality Sandbox},
url = {https://arsandbox.ucdavis.edu/instructions/hardware-2/},
titleaddon = {{UC} Davis Augmented Reality Sandbox},
author = {{UC} Davis},
urldate = {2020-08-13},
date = {2016},
langid = {american}
}
@inreference{noauthor_kinect_2020,
title = {Kinect},
rights = {Creative Commons Attribution-{ShareAlike} License},
url = {https://fr.wikipedia.org/w/index.php?title=Kinect&oldid=173049699},
abstract = {Kinect, initialement connu sous le nom de code Project Natal, est un périphérique destiné au matériel Microsoft avec la Xbox 360 pour la V1 et la Xbox One et Windows depuis la V2 permettant de contrôler une interface sans utiliser de manette. Il a été conçu par Microsoft en septembre 2008.
Le mot-valise « Kinect » est issu des mots anglais « kinetic » (qu'on peut traduire par « cinétique ») et « connect » (qu'on peut traduire par « connecter »),. La sortie européenne a eu lieu le 10 novembre 2010.
Le 5 janvier 2011, deux mois après sa sortie, Microsoft annonce avoir vendu 8 millions de Kinect, dont un million en seulement 10 jours. Le 11 mars 2011, Kinect entre au Livre Guinness des records comme étant « l'accessoire high-tech le plus vendu dans un court laps de temps » avec 10 millions d'unités vendues, soit une moyenne de 130 000 Kinect vendus chaque jour à travers le monde.
Les ventes se sont ensuite érodées, jusqu'à ce que Microsoft décide de ne pas intégrer de port Kinect dans la Xbox One S sortie en août 2016. Finalement, en octobre 2017, le fabricant annonce l'arrêt du développement et de la production de Kinect.},
booktitle = {Wikipédia},
urldate = {2020-08-13},
date = {2020-07-19},
langid = {french},
note = {Page Version {ID}: 173049699},
file = {Snapshot:/home/simon/Zotero/storage/3RYIIRNI/index.html:text/html}
}
@online{microsoft_buy_2020,
title = {Buy the Azure Kinect developer kit – Microsoft},
url = {https://www.microsoft.com/en-us/p/azure-kinect-dk/8pp5vxmd9nhq},
abstract = {Azure Kinect {DK} is a developer kit that contains a best-in-class 1MP depth camera, 360˚ microphone array, 12MP {RGB} camera, and orientation sensor for building advanced computer vision and speech models.},
titleaddon = {Microsoft Store},
author = {{Microsoft}},
urldate = {2020-08-13},
date = {2020},
langid = {english},
file = {Snapshot:/home/simon/Zotero/storage/G3Y2UI3U/8pp5vxmd9nhq.html:text/html}
}
@online{universal_terminal_systems_llc_augmented_nodate-1,
title = {Augmented reality sandbox {\textbar} Award-winning, certified {\textbar} Ships internationally},
url = {http://ar-sandbox.com/},
abstract = {3D interactive sandbox for education, entertainment, therapy. 25 interactive modes: topography, contour lines, rivers, volcanoes. You can use your hardware.},
titleaddon = {ar-sandbox.com},
author = {{Universal Terminal Systems (LLC)}},
urldate = {2020-08-13},
langid = {american},
file = {Snapshot:/home/simon/Zotero/storage/NK3CBHQK/ar-sandbox.com.html:text/html}
}
@online{opencv_dev_team_mat_2019,
title = {Mat - The Basic Image Container — {OpenCV} 2.4.13.7 documentation},
url = {https://docs.opencv.org/2.4/doc/tutorials/core/mat_the_basic_image_container/mat_the_basic_image_container.html},
titleaddon = {{OpenCV}},
author = {{opencv dev team}},
urldate = {2020-08-13},
date = {2019-12-31},
file = {Mat - The Basic Image Container — OpenCV 2.4.13.7 documentation:/home/simon/Zotero/storage/257UG8J5/mat_the_basic_image_container.html:text/html}
}
@online{opencv_dev_team_opencv_nodate,
title = {{OpenCV}: cv::Mat Class Reference},
url = {https://docs.opencv.org/3.4/d3/d63/classcv_1_1Mat.html},
titleaddon = {{OpenCV}},
author = {{opencv dev team}},
urldate = {2020-08-13},
file = {OpenCV\: cv\:\:Mat Class Reference:/home/simon/Zotero/storage/9WQY9RP6/classcv_1_1Mat.html:text/html}
}
@online{intel_realsense_get_2020,
title = {Get started},
url = {https://dev.intelrealsense.com/docs},
abstract = {Choose the section: {InstallationFirmware} {updateCode} {samplesWrappersWhitepapersSDK} knowledge {baseCalibrationDatasheetsAPICAD} {FilesCommunity} Projects Links: Product {SupportCommunityGitHub} {ProjectStart} testing in Jupyter notebooks},
titleaddon = {Intel® {RealSense}™ Developer Documentation},
author = {{Intel RealSense}},
urldate = {2020-08-13},
date = {2020-08-08},
langid = {english},
file = {Snapshot:/home/simon/Zotero/storage/JK3QSF7W/docs.html:text/html}
}
@software{beder_jbederyaml-cpp_2020,
title = {jbeder/yaml-cpp},
rights = {{MIT} License , {MIT} License},
url = {https://github.com/jbeder/yaml-cpp},
abstract = {A {YAML} parser and emitter in C++. Contribute to jbeder/yaml-cpp development by creating an account on {GitHub}.},
author = {Beder, Jesse},
urldate = {2020-08-13},
date = {2020-08-13},
note = {original-date: 2015-03-30T02:52:32Z}
}
@online{qt_company_ltd_qt_2019,
title = {Qt Documentation},
url = {https://doc.qt.io/},
titleaddon = {Qt},
author = {{Qt Company Ltd}},
urldate = {2020-08-13},
date = {2019},
file = {Qt Documentation:/home/simon/Zotero/storage/LBLN3PF5/doc.qt.io.html:text/html}
}
@online{mantidproject_profiling_nodate,
title = {Profiling with Valgrind},
url = {https://developer.mantidproject.org/ProfilingWithValgrind.html},
titleaddon = {mantidproject},
author = {{mantidproject}},
urldate = {2020-08-13},
file = {Profiling with Valgrind:/home/simon/Zotero/storage/KRTXYVRZ/ProfilingWithValgrind.html:text/html}
}
@online{sanjay_ghemawat_gperftools_2008,
title = {Gperftools {CPU} Profiler},
url = {https://gperftools.github.io/gperftools/cpuprofile.html},
titleaddon = {gperftools.github.io},
author = {{Sanjay Ghemawat}},
urldate = {2020-08-13},
date = {2008-05-09},
file = {Gperftools CPU Profiler:/home/simon/Zotero/storage/7UN5TJIR/cpuprofile.html:text/html}
}
@online{sugih_jamin_eecs_nodate,
title = {{EECS} 380: gprof Quick-Start Guide},
url = {http://web.eecs.umich.edu/~sugih/pointers/gprof_quick.html},
titleaddon = {Umich.edu},
author = {{Sugih Jamin}},
urldate = {2020-08-13},
file = {EECS 380\: gprof Quick-Start Guide:/home/simon/Zotero/storage/WGAUK5TW/gprof_quick.html:text/html}
}
@online{opencv_dev_team_geometric_2019,
title = {Geometric Image Transformations — {OpenCV} 2.4.13.7 documentation},
url = {https://docs.opencv.org/2.4/modules/imgproc/doc/geometric_transformations.html#resize},
titleaddon = {{OpenCV}},
author = {{opencv dev team}},
urldate = {2020-08-13},
date = {2019-12-31},
file = {Geometric Image Transformations — OpenCV 2.4.13.7 documentation:/home/simon/Zotero/storage/6GW6TSG3/geometric_transformations.html:text/html}
}
@online{opencv_dev_team_changing_2019,
title = {Changing the contrast and brightness of an image! — {OpenCV} 2.4.13.7 documentation},
url = {https://docs.opencv.org/2.4/doc/tutorials/core/basic_linear_transform/basic_linear_transform.html},
titleaddon = {{OpenCV}},
author = {{opencv dev team}},
urldate = {2020-08-13},
date = {2019-12-31},
file = {Changing the contrast and brightness of an image! — OpenCV 2.4.13.7 documentation:/home/simon/Zotero/storage/45ZRA5HE/basic_linear_transform.html:text/html}
}
@online{opencv_dev_team_feature_2019,
title = {Feature Detection — {OpenCV} 2.4.13.7 documentation},
url = {https://docs.opencv.org/2.4/modules/imgproc/doc/feature_detection.html?highlight=houghcircles#houghcircles},
titleaddon = {{OpenCV}},
author = {opencv dev team},
urldate = {2020-08-13},
date = {2019-12-31},
file = {Feature Detection — OpenCV 2.4.13.7 documentation:/home/simon/Zotero/storage/6XPEJ27F/feature_detection.html:text/html}
}
@online{paul_bourke_point_nodate,
title = {Point, Line, Plane},
url = {http://paulbourke.net/geometry/pointlineplane/},
titleaddon = {paulbourke.net},
author = {{Paul Bourke}},
urldate = {2020-08-13},
file = {Point, Line, Plane:/home/simon/Zotero/storage/A6K7XG7Y/pointlineplane.html:text/html}
}
@online{opencv_dev_team_affine_2019,
title = {Affine Transformations — {OpenCV} 2.4.13.7 documentation},
url = {https://docs.opencv.org/2.4/doc/tutorials/imgproc/imgtrans/warp_affine/warp_affine.html},
titleaddon = {{OpenCV}},
author = {{opencv dev team}},
urldate = {2020-08-13},
date = {2019-12-31},
file = {Affine Transformations — OpenCV 2.4.13.7 documentation:/home/simon/Zotero/storage/JTKA5EV2/warp_affine.html:text/html}
}
@online{opencv_dev_team_geometric_2019-1,
title = {Geometric Image Transformations — {OpenCV} 2.4.13.7 documentation},
url = {https://docs.opencv.org/2.4/modules/imgproc/doc/geometric_transformations.html?highlight=warpaffine#warpaffine},
titleaddon = {{OpenCV}},
author = {{opencv dev team}},
urldate = {2020-08-13},
date = {2019-12-31},
file = {Geometric Image Transformations — OpenCV 2.4.13.7 documentation:/home/simon/Zotero/storage/H9WWDB7M/geometric_transformations.html:text/html}
}
@online{intel_realsense_projection_2019,
title = {Projection in Intel {RealSense} {SDK} 2.0},
url = {https://dev.intelrealsense.com/docs/projection-in-intel-realsense-sdk-20#distortion-models},
abstract = {This document describes the projection mathematics relating the images provided by the Intel {RealSense} depth devices to their associated 3D coordinate systems, as well as the relationships between those coordinate systems. These facilities are mathematically equivalent to those provided by previous ...},
titleaddon = {Intel® {RealSense}™ Developer Documentation},
author = {{Intel RealSense}},
urldate = {2020-08-13},
date = {2019-08-08},
langid = {english},
file = {Snapshot:/home/simon/Zotero/storage/2H9AU4NQ/projection-in-intel-realsense-sdk-20.html:text/html}
}
@online{noauthor_table_nodate,
title = {Table 1 . Comparative specifications of Microsoft Kinect v1 and v2.},
url = {https://www.researchgate.net/figure/Comparative-specifications-of-Microsoft-Kinect-v1-and-v2_tbl1_313333776},
abstract = {Download Table {\textbar} Comparative specifications of Microsoft Kinect v1 and v2. from publication: Real Time Apnoea Monitoring of Children Using the Microsoft Kinect Sensor: A Pilot Study {\textbar} The objective of this study was to design a non-invasive system for the observation of respiratory rates and detection of apnoea using analysis of real time image sequences captured in any given sleep position and under any light conditions (even in dark environments). A... {\textbar} Kinect, Real Time and Sensors {\textbar} {ResearchGate}, the professional network for scientists.},
titleaddon = {{ResearchGate}},
urldate = {2020-08-14},
langid = {english},
file = {Snapshot:/home/simon/Zotero/storage/Z9QHUGAR/Comparative-specifications-of-Microsoft-Kinect-v1-and-v2_tbl1_313333776.html:text/html}
}
@online{sandbox_software_nodate,
title = {Software},
url = {https://isandbox.co.uk/software/},
titleaddon = {The home of augmented reality sandbox},
author = {sandbox, The home of augmented reality},
urldate = {2020-08-14},
file = {Snapshot:/home/simon/Zotero/storage/3R99TXT6/software.html:text/html}
}
@online{intel_realsense_depth_nodate,
title = {Depth Camera D415},
url = {https://www.intelrealsense.com/depth-camera-d415/},
abstract = {Depth camera D415 has a narrower field of view, a rolling shutter that are ideally suited for high accuracy applications such as 3D scanning.},
titleaddon = {Intel® {RealSense}™ Depth and Tracking Cameras},
author = {{Intel RealSense}},
urldate = {2020-08-15},
langid = {american},
file = {Snapshot:/home/simon/Zotero/storage/FVM9H5HM/depth-camera-d415.html:text/html}
}
@online{intel_realsense_depth_nodate-1,
title = {Depth Camera D435},
url = {https://www.intelrealsense.com/depth-camera-d435/},
abstract = {Depth Camera D435 offers the widest field of view of all our cameras, global shutter on the depth sensor that is ideal for fast moving applications.},
titleaddon = {Intel® {RealSense}™ Depth and Tracking Cameras},
author = {{Intel RealSense}},
urldate = {2020-08-15},
langid = {american},
file = {Snapshot:/home/simon/Zotero/storage/AT4LQAK4/depth-camera-d435.html:text/html}
}
@online{intel_realsense_intelrealsenselibrealsense_nodate,
title = {{IntelRealSense}/librealsense},
url = {https://github.com/IntelRealSense/librealsense},
abstract = {Intel® {RealSense}™ {SDK}. Contribute to {IntelRealSense}/librealsense development by creating an account on {GitHub}.},
titleaddon = {{GitHub}},
author = {{Intel RealSense}},
urldate = {2020-08-15},
langid = {english},
file = {Snapshot:/home/simon/Zotero/storage/5ZX28S46/Projection-in-RealSense-SDK-2.html:text/html}
}
@inreference{noauthor_opencv_2020,
title = {{OpenCV}},
rights = {Creative Commons Attribution-{ShareAlike} License},
url = {https://en.wikipedia.org/w/index.php?title=OpenCV&oldid=972100697},
abstract = {{OpenCV} (Open Source Computer Vision Library) is a library of programming functions mainly aimed at real-time computer vision. Originally developed by Intel, it was later supported by Willow Garage then Itseez (which was later acquired by Intel). The library is cross-platform and free for use under the open-source {BSD} license.},
booktitle = {Wikipedia},
urldate = {2020-08-15},
date = {2020-08-10},
langid = {english},
note = {Page Version {ID}: 972100697},
file = {Snapshot:/home/simon/Zotero/storage/TDKQSTIS/index.html:text/html}
}
@inreference{noauthor_opencv_2020-1,
title = {{OpenCV}},
rights = {Creative Commons Attribution-{ShareAlike} License},
url = {https://fr.wikipedia.org/w/index.php?title=OpenCV&oldid=166957581},
abstract = {{OpenCV} (pour Open Computer Vision) est une bibliothèque graphique libre, initialement développée par Intel, spécialisée dans le traitement d'images en temps réel. La société de robotique Willow Garage et la société {ItSeez} se sont succédé au support de cette bibliothèque. Depuis 2016 et le rachat de {ItSeez} par Intel, le support est de nouveau assuré par Intel.
Cette bibliothèque est distribuée sous licence {BSD}.
{NVidia} a annoncé en septembre 2010 qu'il développerait des fonctions utilisant {CUDA} pour {OpenCV}.},
booktitle = {Wikipédia},
urldate = {2020-08-15},
date = {2020-02-01},
langid = {french},
note = {Page Version {ID}: 166957581},
file = {Snapshot:/home/simon/Zotero/storage/XP5N94P7/index.html:text/html}
}
@inreference{noauthor_qt_2020,
title = {Qt},
rights = {Creative Commons Attribution-{ShareAlike} License},
url = {https://fr.wikipedia.org/w/index.php?title=Qt&oldid=170935077},
abstract = {Qt (prononcé officiellement en anglais cute (/kjuːt/) mais couramment prononcé Q.T. (/ˈkjuː.ˈtiː/)) :
une {API} orientée objet et développée en C++, conjointement par The Qt Company et Qt Project. Qt offre des composants d'interface graphique (widgets), d'accès aux données, de connexions réseaux, de gestion des fils d'exécution, d'analyse {XML}, etc. ;
par certains aspects, elle ressemble à un framework lorsqu'on l'utilise pour concevoir des interfaces graphiques ou que l'on conçoit l'architecture de son application en utilisant les mécanismes des signaux et slots par exemple.Qt permet la portabilité des applications qui n'utilisent que ses composants par simple recompilation du code source. Les environnements pris en charge sont les Unix (dont {GNU}/Linux) qui utilisent le système graphique X Window System ou Wayland, Windows, Mac {OS} X, Tizen et également Genode. Le fait d'être une bibliothèque logicielle multiplateforme attire un grand nombre de personnes qui ont donc l'occasion de diffuser leurs programmes sur les principaux {OS} existants.
Qt intègre des bindings avec plus d'une dizaine de langages autres que le C++, comme Ada, C\#, Java, Python, Ruby, Visual Basic, etc.
Qt est notamment connu pour être le framework sur lequel repose l'environnement graphique {KDE} Plasma, l'un des environnements de bureau par défaut de plusieurs distributions {GNU}/Linux.},
booktitle = {Wikipédia},
urldate = {2020-08-15},
date = {2020-05-16},
langid = {french},
note = {Page Version {ID}: 170935077},
file = {Snapshot:/home/simon/Zotero/storage/Q48ISQ8M/index.html:text/html}
}
@online{chris_demetriou_google_2007,
title = {Google {CPU} Profiler Binary Data File Format},
url = {https://gperftools.github.io/gperftools/cpuprofile-fileformat.html},
titleaddon = {gperftools.github.io},
author = {{Chris Demetriou}},
urldate = {2020-08-15},
date = {2007-08-27},
file = {Google CPU Profiler Binary Data File Format:/home/simon/Zotero/storage/ZVDBEYBN/cpuprofile-fileformat.html:text/html}
}
@online{valgrind_developpers_valgrind_nodate,
title = {Valgrind Home},
url = {https://valgrind.org/},
titleaddon = {Valgrind},
author = {{Valgrind Developpers}},
urldate = {2020-08-15},
file = {Valgrind Home:/home/simon/Zotero/storage/ANNQAK4J/valgrind.org.html:text/html}
}
@online{intel_realsense_stereo_nodate,
title = {Stereo Depth},
url = {https://www.intelrealsense.com/stereo-depth/},
abstract = {Intel® {RealSense}™ Stereo Depth Technology brings 3D to devices and machines that only see 2D today. Check out our latest active stereo depth cameras.},
titleaddon = {Intel® {RealSense}™ Depth and Tracking Cameras},
author = {{Intel RealSense}},
urldate = {2020-08-16},
langid = {american},
file = {Snapshot:/home/simon/Zotero/storage/5MZ6XCVV/stereo-depth.html:text/html}
}
@inreference{noauthor_gprof_2016,
title = {Gprof},
rights = {Creative Commons Attribution-{ShareAlike} License},
url = {https://fr.wikipedia.org/w/index.php?title=Gprof&oldid=127793681},
abstract = {Gprof est un logiciel {GNU} Binary Utilities qui permet d'effectuer du profilage de code.},
booktitle = {Wikipédia},
urldate = {2020-08-16},
date = {2016-07-12},
langid = {french},
note = {Page Version {ID}: 127793681},
file = {Snapshot:/home/simon/Zotero/storage/JENPTFC7/index.html:text/html}
}
@online{intel_realsense_intel_nodate,
title = {Intel® {RealSense}™ Technology},
url = {https://www.intel.com/content/www/us/en/architecture-and-technology/realsense-overview.html},
abstract = {Intel® {RealSense}™ technology takes perceptual computing to the next level by understanding sensory input and movement-supported platforms.},
titleaddon = {Intel},
author = {{Intel RealSense}},
urldate = {2020-08-16},
langid = {english},
file = {Snapshot:/home/simon/Zotero/storage/G6JP9RZZ/realsense-overview.html:text/html}
}
@online{noauthor_augmented_nodate,
title = {Augmented reality sandbox {\textbar} Award-winning, certified {\textbar} Ships internationally},
url = {http://ar-sandbox.com/},
abstract = {3D interactive sandbox for education, entertainment, therapy. 25 interactive modes: topography, contour lines, rivers, volcanoes. You can use your hardware.},
titleaddon = {ar-sandbox.com},
urldate = {2020-08-16},
langid = {american},
file = {Snapshot:/home/simon/Zotero/storage/TMDAETWP/ar-sandbox.com.html:text/html}
}
@online{noauthor_intel_nodate,
title = {Intel {RealSense} {SDK} 2.0 – Intel {RealSense} Depth and Tracking cameras},
url = {https://www.intelrealsense.com/sdk-2/},
abstract = {Free Cross-platform {SDK} for depth cameras (lidar, stereo, coded light). Windows, Linux and other. 10+ wrappers including {ROS}, Python, C/C++, C\#, unity. Try!},
titleaddon = {Intel® {RealSense}™ Depth and Tracking Cameras},
urldate = {2020-08-16},
langid = {american},
file = {Snapshot:/home/simon/Zotero/storage/MCZTTCTN/sdk-2.html:text/html}
}
@inreference{noauthor_yaml_2020,
title = {{YAML}},
rights = {Creative Commons Attribution-{ShareAlike} License},
url = {https://fr.wikipedia.org/w/index.php?title=YAML&oldid=173456652},
abstract = {{YAML}, acronyme de Yet Another Markup Language dans sa version 1.0, il devient l'acronyme récursif de {YAML} Ain't Markup Language (« {YAML} n’est pas un langage de balisage ») dans sa version 1.1, est un format de représentation de données par sérialisation Unicode. Il reprend des concepts d'autres langages comme {XML}, ou encore du format de message électronique tel que documenté par {RFC} 2822. {YAML} a été proposé par Clark Evans en 2001, et implémenté par ses soins ainsi que par Brian Ingerson et Oren Ben-Kiki.
Son objet est de représenter des informations plus élaborées que le simple {CSV} en gardant cependant une lisibilité presque comparable, et bien plus grande en tout cas que du {XML}.
En 2015, Symfony 2, Drupal 8 et {phpMyAdmin}, entre autres, l'utilisent pour leurs formats d'entrée et de sortie.},
booktitle = {Wikipédia},
urldate = {2020-08-16},
date = {2020-08-01},
langid = {french},
note = {Page Version {ID}: 173456652},
file = {Snapshot:/home/simon/Zotero/storage/LU4BWLCA/index.html:text/html}
}
@online{noauthor_libxrandr_nodate,
title = {libxrandr},
url = {https://www.x.org/wiki/libraries/libxrandr/},
urldate = {2020-08-16},
file = {libxrandr:/home/simon/Zotero/storage/TCA2LDVR/libxrandr.html:text/html}
}
@online{noauthor_rs-align_nodate,
title = {rs-align},
url = {https://dev.intelrealsense.com/docs/rs-align},
abstract = {Overview This example introduces the concept of spatial stream alignment.For example usecase of alignment, please check out align-advanced and measure demos.The need for spatial alignment (from here "align") arises from the factthat not all camera streams are captured from a single viewport. Align p...},
titleaddon = {Intel® {RealSense}™ Developer Documentation},
urldate = {2020-08-16},
langid = {english},
file = {Snapshot:/home/simon/Zotero/storage/EDIUJ37J/rs-align.html:text/html}
}
@online{sinha_circle_nodate,
title = {Circle Hough Transform - {AI} Shack},
url = {https://aishack.in/tutorials/circle-hough-transform/},
titleaddon = {{AI} Shack},
author = {Sinha, Utkarsh},
urldate = {2020-08-16},
langid = {english},
file = {Snapshot:/home/simon/Zotero/storage/6XXKFIWC/circle-hough-transform.html:text/html}
}