2023 - Research.com Computer Science in Switzerland Leader Award
2022 - Research.com Computer Science in Switzerland Leader Award
2012 - IEEE Fellow For contributions to three-dimensional computer vision
His main research concerns Artificial intelligence, Computer vision, Iterative reconstruction, Pose and Computer graphics. His Artificial intelligence research incorporates elements of Machine learning and Pattern recognition. Marc Pollefeys frequently studies issues relating to Metric and Computer vision.
His study focuses on the intersection of Iterative reconstruction and fields such as Pixel with connections in the field of Stereopsis, Rendering and Image resolution. His work deals with themes such as Inertial measurement unit and Image retrieval, which intersect with Pose. His work in the fields of Computer graphics, such as Graphics and Stereo cameras, intersects with other areas such as Set.
His scientific interests lie mostly in Artificial intelligence, Computer vision, 3D reconstruction, Pattern recognition and Pose. His research ties Computer graphics and Artificial intelligence together. Marc Pollefeys is interested in Rendering, which is a branch of Computer graphics.
As part of his studies on Computer vision, Marc Pollefeys frequently links adjacent subjects like Visualization. His 3D reconstruction research is multidisciplinary, incorporating perspectives in Algorithm and Surface reconstruction. He usually deals with Pattern recognition and limits it to topics linked to Deep learning and Convolutional neural network.
Marc Pollefeys spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Pose and Feature. His is doing research in Artificial neural network, Robustness, Representation, Feature extraction and Point cloud, both of which are found in Artificial intelligence. Computer vision and Pipeline are frequently intertwined in his study.
His study in Pattern recognition is interdisciplinary in nature, drawing from both 3D reconstruction, Key and Encoding. His Pose research includes elements of Leverage, Sliding window protocol, Feature learning, Odometry and Visualization. His Feature research includes themes of Matching, Mixed reality and Data mining.
Marc Pollefeys mainly investigates Artificial intelligence, Computer vision, Pose, Robustness and Feature. In Artificial intelligence, Marc Pollefeys works on issues like Key, which are connected to Image retrieval. Marc Pollefeys integrates several fields in his works, including Computer vision and Inertial frame of reference.
His Pose study combines topics from a wide range of disciplines, such as Visualization and Data mining. The study incorporates disciplines such as Implicit function, Tracing, Graphics, Signed distance function and Rendering in addition to Robustness. His Feature research is multidisciplinary, incorporating elements of Mixed reality, Upload, Structure from motion, Cloud computing and Server.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters
Marc Pollefeys;Reinhard Koch;Luc Van Gool.
International Journal of Computer Vision (1999)
Visual Modeling with a Hand-Held Camera
Marc Pollefeys;Luc Van Gool;Maarten Vergauwen;Frank Verbiest.
International Journal of Computer Vision (2004)
Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters
M. Pollefeys;R. Koch;L. Van Gool.
international conference on computer vision (1998)
Detailed Real-Time Urban 3D Reconstruction from Video
M. Pollefeys;D. Nistér;J. M. Frahm;A. Akbarzadeh.
International Journal of Computer Vision (2008)
Pixelwise View Selection for Unstructured Multi-View Stereo
Johannes L. Schönberger;Enliang Zheng;Jan Michael Frahm;Marc Pollefeys;Marc Pollefeys.
european conference on computer vision (2016)
Building Rome on a cloudless day
Jan-Michael Frahm;Pierre Fite-Georgel;David Gallup;Tim Johnson.
european conference on computer vision (2010)
A General Framework for Motion Segmentation : Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate
Jingyu Yan;Marc Pollefeys.
Lecture Notes in Computer Science (2006)
A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus
Rahul Raguram;Jan-Michael Frahm;Marc Pollefeys.
european conference on computer vision (2008)
GPU-based Video Feature Tracking And Matching
Sudipta N. Sinha;Jan-Michael Frahm;Marc Pollefeys;Yakup Genc.
PX4: A node-based multithreaded open source robotics framework for deeply embedded platforms
Lorenz Meier;Dominik Honegger;Marc Pollefeys.
international conference on robotics and automation (2015)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: