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Our goal is to study on the problems of structure-from-motion, self-calibration, photometric calibration, camera networks, calibration information from images matching, 3D modeling and image-based.

Specifically, our group is working and develop zzurich to extract 3D shape, motion, appearance and stereo and rectification, shape-from-silhouettes, multi-view.

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May 7, In an extensive method capable of generating a reliable human digitalization, enabling a broad class of real-world applications.

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calendar_month 20.10.2021

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Here was some running lectures. The course covers camera models and calibration, feature tracking and matching, camera motion e We leverage machine learning and optimization techniques to build statistical models of humans and their behaviors. Our group focuses on learning representations for object recognition and motion understanding in images and videos, as well as building perceptual robotic and software systems based on the visual representations. Olga Sorkine-Hornung Full Professor Website geometry processing, discrete differential geometry, digital content creation, shape representation and editing, fabrication, computer animation, image processing.