Editing Triangulation (section)

===In computer vision===
{{main|Triangulation (computer vision)}}

[[Computer stereo vision]] and [[optical 3D measuring]] systems use this principle to determine the spatial dimensions and the geometry of an item.<ref name="LuhmannRobson2013">{{cite book|author1=Thomas Luhmann|author2=Stuart Robson|author3=Stephen Kyle|author4=Jan Boehm|title=Close-Range Photogrammetry and 3D Imaging|url=https://books.google.com/books?id=_f7oBQAAQBAJ&q=%22optical%203D%20measuring%22|date=27 November 2013|publisher=De Gruyter|isbn=978-3-11-030278-3}}</ref> Basically, the configuration consists of two sensors observing the item. One of the sensors is typically a digital camera device, and the other one can also be a camera or a light projector. The projection centers of the sensors and the considered point on the object's surface define a (spatial) triangle. Within this triangle, the distance between the sensors is the base ''b'' and must be known. By determining the angles between the projection rays of the sensors and the basis, the intersection point, and thus the 3D coordinate, is calculated from the triangular relations.