Computer Vision and Machine Learning

In the Focus Group Computer Vision & Machine Learning, Carl von Linde Senior Fellow Prof. Daniel Cremers (TUM) works together with Rudolf Diesel Industry Fellow Prof. Michael Bronstein (Intel / Imperial College / University of Lugano).

The activities of the Computer Vision and Machine Learning focus group is primarily centered around the interplay between geometry, machine learning and computer vision. Analysis of geometric objects has been a topic of computer vision and pattern recognition since the inception of the field. Classical computer vision problems of “Shape-from-X” aim at recovering the geometric structure of a 3D object from multiple images (Shape from stereo) or different illumination conditions (photometric stereo). In the recent years, the interest in 3D data has increased dramatically, fuelled in part by the commercial availability of affordable and compact 3D sensors. Such sensors are nowadays found in a broad range of applications from drones and augmented reality to self-driving cars.

In July 2018, the Focus Group Computer Vision & Machine Learning organized the workshop Machine Learning for 3D Understanding.