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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich



Image-based 3D Reconstruction

Contact: Prof. Dr. Daniel Cremers

For a human, it is usually an easy task to get an idea of the 3D structure shown in an image. Due to the loss of one dimension in the projection process, the estimation of the true 3D geometry is difficult and a so called ill-posed problem, because usually infinitely many different 3D surfaces may produce the same set of images.

3D Reconstruction from Multiple Views

The goal of multiview 3D reconstruction is to infer geometrical structure of a scene captured by a collection of images.

Spatio-Temporal 3D Reconstruction from Multiple Videos

Considering a dynamic scene that changes over time, 3D reconstruction can be applied to every time step independently. However, one can achieve temporally more consistent results by using the information from several time frames together, thus computing a spatio-temporal hyper-surface in 4D space. See this link for details.

3D Reconstruction from a Single View

The estimation of 3D geometry from a single image is a special case of image-based 3D reconstruction from several images, but is considerably more difficult since depth cannot be estimated from pixel correspondences. Thus, further prior knowledge or user input is needed in order to recover or infer any depth information.

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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NeurIPS 2022

We have two papers accepted to NeurIPS 2022.


WACV 2023

We have two papers accepted at WACV 2023.


Fulbright PULSE podcast on Prof. Cremers went online on Apple Podcasts and Spotify.


MCML Kick-Off

On July 27th, we are organizing the Kick-Off of the Munich Center for Machine Learning in the Bavarian Academy of Sciences.


AI Symposium

On July 22nd 2022, we are organizing a Symposium on AI within the Technology Forum of the Bavarian Academy of Sciences.