https://wiki.hshl.de/wiki/index.php?action=history&feed=atom&title=DSB18%3A_Objekterkennung_aus_dem_Videobild 2026-04-30T17:35:53Z Versionsgeschichte dieser Seite in HSHL Mechatronik MediaWiki 1.43.0 https://wiki.hshl.de/wiki/index.php?title=DSB18:_Objekterkennung_aus_dem_Videobild&diff=32896&oldid=prev 2018-04-11T16:41:30Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="de"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Nächstältere Version</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Version vom 11. April 2018, 16:41 Uhr</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l3">Zeile 3:</td> <td colspan="2" class="diff-lineno">Zeile 3:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Motivation ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Motivation ==</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">ArUco Marker ermöglichen eine low</del>-<del style="font-weight: bold; text-decoration: none;">cost Lokalisierung</del>.  </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Kartons bilden die Objekte beim Carolo</ins>-<ins style="font-weight: bold; text-decoration: none;">Cup</ins>. <ins style="font-weight: bold; text-decoration: none;">Es bedarf einer robusten Objekterkennung auf Basis des Kamerabildes.  </ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Ziel ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Ziel ==</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Die Verarbeitung von ArUco Marken mit Matlab ermöglicht die Lokalisierung </del>der <del style="font-weight: bold; text-decoration: none;">Marker </del>in <del style="font-weight: bold; text-decoration: none;">einer realen Umgebung. So lässt sich mir einfachen Mitteln eine Lokalisierung (Ground Truth) realisieren. Position und Lage </del>der <del style="font-weight: bold; text-decoration: none;">Marker sollen in Echtzeit </del>in <del style="font-weight: bold; text-decoration: none;">Weltkoordinaten bestimmt werden.</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Vertiefung </ins>der <ins style="font-weight: bold; text-decoration: none;">Lehrveranstaltung Digitale Signal- und Bildverarbeitung.\</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Vorstellung eines Konzeptes zur Objekterkennung</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Umsetzung des Konzeptes </ins>in <ins style="font-weight: bold; text-decoration: none;">Matlab</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Einblendung </ins>der <ins style="font-weight: bold; text-decoration: none;">Objekte </ins>in <ins style="font-weight: bold; text-decoration: none;">das Videobild </ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Anforderungen ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Anforderungen ==</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div># Recherchieren Sie <del style="font-weight: bold; text-decoration: none;">was ArUco Marker sind </del>und <del style="font-weight: bold; text-decoration: none;">wie </del>sich <del style="font-weight: bold; text-decoration: none;">diese in Position und Lage detektieren </del>lassen.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div># Recherchieren Sie <ins style="font-weight: bold; text-decoration: none;">die theoretische Hintergründe der Objekterkennung.</ins></div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div># <del style="font-weight: bold; text-decoration: none;">Erstellen </del>Sie <del style="font-weight: bold; text-decoration: none;">ArUko Marken mittels Matlab</del>.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Recherchieren Sie welche Verfahren zur Objekterkennung </ins>und <ins style="font-weight: bold; text-decoration: none;">-verfolgung </ins>sich <ins style="font-weight: bold; text-decoration: none;">für unseren Fall anwenden </ins>lassen<ins style="font-weight: bold; text-decoration: none;">. Publikationen zu diesem Thema finden Sie beispielsweise [http://193.175.248.52/usvn/svn/MTR_SDE_Praktikum/trunk/Literatur/Objekterkennung|hier]</ins>.</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"># Nutzen </del>Sie <del style="font-weight: bold; text-decoration: none;">eine Webcam </del>für die <del style="font-weight: bold; text-decoration: none;">Detektion der Marker</del>.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div># <ins style="font-weight: bold; text-decoration: none;">Unter [http://193.175.248.52/usvn/svn/MTR_SDE_Praktikum/trunk/Software/Demos| Demos] finden </ins>Sie <ins style="font-weight: bold; text-decoration: none;">ein Demo zur Objekterkennung</ins>. <ins style="font-weight: bold; text-decoration: none;">Dieses dürfen </ins>Sie <ins style="font-weight: bold; text-decoration: none;">gern </ins>für die <ins style="font-weight: bold; text-decoration: none;">Einarbeitung nutzen. Verändern sie es jedoch bitte nicht, sondern legen Sie einen Entwicklungszweig (Branch) in Ihrem Arbeitsverzeichnis an</ins>.</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div># <del style="font-weight: bold; text-decoration: none;">Kalibrieren </del>Sie <del style="font-weight: bold; text-decoration: none;">diese Kameras</del>.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div># <ins style="font-weight: bold; text-decoration: none;">Detektieren </ins>Sie <ins style="font-weight: bold; text-decoration: none;">die Kopierkartons im Videobild</ins>.</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div># <del style="font-weight: bold; text-decoration: none;">Setzen </del>Sie <del style="font-weight: bold; text-decoration: none;">ein Verfahren zur Bestimmung der Pose eines ArUko Markers mit Matlab um</del>.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div># <ins style="font-weight: bold; text-decoration: none;">Zeigen </ins>Sie <ins style="font-weight: bold; text-decoration: none;">die Kartonumrisse als Rechteck in Weltkoordinaten an</ins>.</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div># <del style="font-weight: bold; text-decoration: none;">Transformieren </del>Sie <del style="font-weight: bold; text-decoration: none;">ein Objekt aus der Kameraperspektive in Weltkoordinaten</del>.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div># <ins style="font-weight: bold; text-decoration: none;">Ermitteln </ins>Sie <ins style="font-weight: bold; text-decoration: none;">den Referenzpunkt (Mittelpunkt Vorderkante)</ins>.</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div># <del style="font-weight: bold; text-decoration: none;">Stellen </del>Sie die <del style="font-weight: bold; text-decoration: none;">Objekte im Sichtfeld in der Draufsich metrisch dar</del>.  </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div># <ins style="font-weight: bold; text-decoration: none;">Bestimmen </ins>Sie die <ins style="font-weight: bold; text-decoration: none;">Objektparameter gemäß [http://193.175.248.52/usvn/svn/MTR_SDE_Praktikum/trunk/Dokumentation/Fahrzeug/Schnittstellendokumentation.docx| Schnittstellendokumentation]</ins>.</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div># <del style="font-weight: bold; text-decoration: none;">Schätzen </del>Sie <del style="font-weight: bold; text-decoration: none;">die Genauigkeit Ihres 3D-Sensors ab</del>.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>#<ins style="font-weight: bold; text-decoration: none;">Bewerten </ins>Sie <ins style="font-weight: bold; text-decoration: none;">Ihr Ergebnis</ins>.</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div># Wissenschaftliche Dokumentation als HSHL-Wiki Artikel</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div># Wissenschaftliche Dokumentation als HSHL-Wiki Artikel</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div># Softwareentwicklung nach SDE Standard in SVN</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div># Softwareentwicklung nach SDE Standard in SVN</div></td></tr> <tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l25">Zeile 25:</td> <td colspan="2" class="diff-lineno">Zeile 28:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Weblinks ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Weblinks ==</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [<del style="font-weight: bold; text-decoration: none;">https</del>://<del style="font-weight: bold; text-decoration: none;">docs.opencv.org/3</del>.<del style="font-weight: bold; text-decoration: none;">1</del>.<del style="font-weight: bold; text-decoration: none;">0</del>/<del style="font-weight: bold; text-decoration: none;">d5</del>/<del style="font-weight: bold; text-decoration: none;">dae/tutorial_aruco_detection</del>.html <del style="font-weight: bold; text-decoration: none;">Detection of ArUco Markers</del>]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [<ins style="font-weight: bold; text-decoration: none;">[Objekterkennung | A. Haneke: Objekterkennung]]</ins></div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [<del style="font-weight: bold; text-decoration: none;">https</del>://www.<del style="font-weight: bold; text-decoration: none;">youtube</del>.<del style="font-weight: bold; text-decoration: none;">com</del>/<del style="font-weight: bold; text-decoration: none;">watch?v=SzVutprJ--A 3D camera calibration with OpenCV and arUco markers</del>]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">*[http</ins>://<ins style="font-weight: bold; text-decoration: none;">www</ins>.<ins style="font-weight: bold; text-decoration: none;">mathworks</ins>.<ins style="font-weight: bold; text-decoration: none;">de</ins>/<ins style="font-weight: bold; text-decoration: none;">discovery</ins>/<ins style="font-weight: bold; text-decoration: none;">object-recognition</ins>.html<ins style="font-weight: bold; text-decoration: none;">| Objekterkennung mit Matlab</ins>]</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [https://<del style="font-weight: bold; text-decoration: none;">www</del>.<del style="font-weight: bold; text-decoration: none;">youtube</del>.<del style="font-weight: bold; text-decoration: none;">com/watch?v</del>=<del style="font-weight: bold; text-decoration: none;">_gvvK6h</del>-<del style="font-weight: bold; text-decoration: none;">wxg YouTube</del>: <del style="font-weight: bold; text-decoration: none;">Aruco Markers Tutorial E01 </del>- <del style="font-weight: bold; text-decoration: none;">What are Aruco Markers?]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>*[<ins style="font-weight: bold; text-decoration: none;">http</ins>://www.<ins style="font-weight: bold; text-decoration: none;">mathworks</ins>.<ins style="font-weight: bold; text-decoration: none;">de/de/help/images/examples</ins>/<ins style="font-weight: bold; text-decoration: none;">index.html| Image Processing Toolbox Examples</ins>]</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">* </del>[<del style="font-weight: bold; text-decoration: none;">https</del>://www.<del style="font-weight: bold; text-decoration: none;">youtube</del>.<del style="font-weight: bold; text-decoration: none;">com</del>/<del style="font-weight: bold; text-decoration: none;">watch?v=VsIMl8O_F1w Robot Localization using ArUco</del>]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>*[https://<ins style="font-weight: bold; text-decoration: none;">youtu</ins>.<ins style="font-weight: bold; text-decoration: none;">be/qF0dPcufWQY YouTube: Objekterkennung]</ins>.</div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">== Literatur =</ins>=</div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># '''Corke, P.:''' ''Robotics, Vision and Control''. Heidelberg: Springer Verlag, 2013. ISBN 978-3-642-20143-1</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># '''Doege, K.-P.:''' ''Videodetektion im Straßenverkehr.'' München: Oldenbourg Wissenschaftsverlag GmbH, 2013. ISBN 978-3-486-70893</ins>-<ins style="font-weight: bold; text-decoration: none;">3</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># '''Tönnies, K. D.:''' ''Grundlagen der Bildverarbeitung.'' München</ins>: <ins style="font-weight: bold; text-decoration: none;">Pearson Studium, 2005. ISBN 3-8273-7155</ins>-<ins style="font-weight: bold; text-decoration: none;">4</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># '''Mathworks:''' ''Object Detection, Motion Estimation, and Tracking.'' </ins>[<ins style="font-weight: bold; text-decoration: none;">http</ins>://www.<ins style="font-weight: bold; text-decoration: none;">mathworks</ins>.<ins style="font-weight: bold; text-decoration: none;">de/de/help/vision</ins>/<ins style="font-weight: bold; text-decoration: none;">motion-analysis-and-tracking.html| URL</ins>]</div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== [[BSD-Lizenzbedingung BSD-Lizenz]] ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== [[BSD-Lizenzbedingung BSD-Lizenz]] ==</div></td></tr> <!-- diff cache key mtrwiki:diff:1.41:old-32887:rev-32896:php=table --> </table>

Ulrich Schneider https://wiki.hshl.de/wiki/index.php?title=DSB18:_Objekterkennung_aus_dem_Videobild&diff=32887&oldid=prev 2018-04-11T16:23:01Z

<p>Die Seite wurde neu angelegt: „&#039;&#039;&#039;Autor:&#039;&#039;&#039; &lt;br/&gt; &#039;&#039;&#039;Betreuer:&#039;&#039;&#039; <a href="/wiki/index.php/Benutzer:Ulrich_Schneider" title="Benutzer:Ulrich Schneider"> Prof. Schneider</a> == Motivation == ArUco Marker ermöglichen eine low-cost Lokalisierung. ==…“</p> <p><b>Neue Seite</b></p><div>&#039;&#039;&#039;Autor:&#039;&#039;&#039; &lt;br/&gt;<br /> &#039;&#039;&#039;Betreuer:&#039;&#039;&#039; [[Benutzer:Ulrich_Schneider| Prof. Schneider]]<br /> <br /> == Motivation ==<br /> ArUco Marker ermöglichen eine low-cost Lokalisierung. <br /> <br /> == Ziel ==<br /> Die Verarbeitung von ArUco Marken mit Matlab ermöglicht die Lokalisierung der Marker in einer realen Umgebung. So lässt sich mir einfachen Mitteln eine Lokalisierung (Ground Truth) realisieren. Position und Lage der Marker sollen in Echtzeit in Weltkoordinaten bestimmt werden.<br /> <br /> == Anforderungen ==<br /> # Recherchieren Sie was ArUco Marker sind und wie sich diese in Position und Lage detektieren lassen.<br /> # Erstellen Sie ArUko Marken mittels Matlab.<br /> # Nutzen Sie eine Webcam für die Detektion der Marker.<br /> # Kalibrieren Sie diese Kameras.<br /> # Setzen Sie ein Verfahren zur Bestimmung der Pose eines ArUko Markers mit Matlab um.<br /> # Transformieren Sie ein Objekt aus der Kameraperspektive in Weltkoordinaten.<br /> # Stellen Sie die Objekte im Sichtfeld in der Draufsich metrisch dar. <br /> # Schätzen Sie die Genauigkeit Ihres 3D-Sensors ab.<br /> # Wissenschaftliche Dokumentation als HSHL-Wiki Artikel<br /> # Softwareentwicklung nach SDE Standard in SVN<br /> # Funktionsnachweis als YouTube-Video (vgl. [[Veranstaltungsregeln_DSB_SoSe2018|Veranstaltungsregeln]])<br /> <br /> == Lösungen ==<br /> <br /> <br /> == Weblinks ==<br /> * [https://docs.opencv.org/3.1.0/d5/dae/tutorial_aruco_detection.html Detection of ArUco Markers]<br /> * [https://www.youtube.com/watch?v=SzVutprJ--A 3D camera calibration with OpenCV and arUco markers]<br /> * [https://www.youtube.com/watch?v=_gvvK6h-wxg YouTube: Aruco Markers Tutorial E01 - What are Aruco Markers?]<br /> * [https://www.youtube.com/watch?v=VsIMl8O_F1w Robot Localization using ArUco]<br /> <br /> == [[BSD-Lizenzbedingung BSD-Lizenz]] ==<br /> Copyright (c) 2014, Hochschule Hamm-Lippstadt, Dep. Lip. 1, [[Benutzer:Ulrich_Schneider| Prof. Schneider]]&lt;br/&gt;<br /> Hochschule Hamm-Lippstadt. Alle Rechte vorbehalten.<br /> <br /> <br /> ----<br /> → zurück zum Hauptartikel: [[DSB_SoSe2018| Digitale Signal- und Bildverarbeitung SoSe2018]]</div>

Ulrich Schneider