From two images to a 3D object

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Daniel Cremers,   for Computer Vision and Artifical Intelligence
Daniel Cremers, for Computer Vision and Artifical Intelligence


New, more precise 3D reconstructions for autonomous driving and preservation of cultural artefacts

Researchers at the Technical University of Munich (TUM) have succeeded in generating precise 3D reconstructions of objects using images from only two camera perspectives. Their method works even with images captured in their natural surroundings. Previously, such reconstructions were possible only with hundreds of perspectives or under laboratory conditions. Camera-based reconstructions are used in autonomous driving or when preserving historical monuments.

In recent years, neural methods have become widespread in camera-based reconstructions. In most cases, however, hundreds of camera perspectives are needed. ...
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