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3D reconstruction of points from three views - is there a 3 camera alternative to triangulate?

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Hi everybody,
I have three sets of x,y data, taken from an object tracked as it moves through three dimensions and taken by three different cameras.
I have the camera parameters and matrices, I can calibrate the images etc and have even been able to fully reconstruct a 3D point cloud based on two cameras, using the Matlab 'triangulate' function. But I was wondering if there is some Matlab function or code that can accept more than two cameras/views? I would like to be able to use the information from all three cameras...
Thanks very much for any help,

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Dima Lisin
Dima Lisin el 4 de Dic. de 2015
Editada: Dima Lisin el 16 de Mzo. de 2016
The triangulate function can only handle two views. However, the algorithm that it uses can be easily extended to multiple views. Please see Multiple View Geometry in Computer Vision by Harley and Zisserman for details.
Edit: As of release R2016a you can use triangulateMultiview to do 3D reconstruction from any number of views.
  6 comentarios
Yusuke KONNO
Yusuke KONNO el 15 de Jun. de 2019
I also faced this problem.
Multivew stereo function should have different camera parameters on each view.
cui,xingxing el 9 de Abr. de 2021
This internal function can be reconstructed from multiple points.
worldPoints = vision.internal.triangulateMultiViewPoints(pointTracks, cameraMatrices)

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