Research Group on Visual Computation

Demo Software


Project iconAbsolute and Relative Pose Estimation of a Multi-View Camera System using 2D-3D Line Pairs and Vertical Direction
We propose a new algorithm for estimating the absolute and relative pose of a multi-view camera system. The algorithm relies on two solvers: a direct solver and a least-squares solver which uses all inlier 2D-3D line pairs. The algorithm has been validated on a large synthetic dataset, experimental results confirm the stable and real-time performance under realistic noise on the line parameters as well as in the vertical direction. Furthermore, the algorithm performs well on real data.
Project iconAffine Registration of 3D Objects
Sample implementation and benchmark dataset of a correspondence-free binary 3D image registration algorithm.
Project iconAffine Registration of Planar Shapes
Sample implementation and benchmark dataset of a correspondence-free binary image registration algorithm.
Project iconCollaborative Mobile Image Processing Demo Application
Reconstruction of the surrounding 3D world is of particular interest either for mapping, civil applications or for entertainment. We proposed a pipeline that utilizes an ad-hoc network of camera equipped smartphones in a collaborative manner. Data, computations and results can be shared among the participant devices without centralization. The reconstruction is based on segmented planar regions which is especially suitable for scenes having large (near) planar parts. Once the calibration parameters are known, the perspective distortion of a planar region in two views makes it possible to compute the normal and distance of the region w.r.t the world coordinate system.
Project iconGeneralized Pose Estimation from Line Correspondences with Known Vertical Direction
Pose estimation is a fundamental building block of various vision applications, e.g. visual odometry, image-based localization and navigation, fusion, and augmented reality. Herein, we are interested in absolute pose estimation with line correspondences, which consists in determining the position and orientation of a camera with respect to a 3D world coordinate frame.
Project iconMultiview Absolute Pose Using 3D – 2D Perspective Line Correspondences and Vertical Direction
Pose estimation is a fundamental building block of various vision applications, e.g. visual odometry, image-based localization and navigation, fusion, and augmented reality. Herein, we are interested in absolute pose estimation with line correspondences, which consists in determining the position and orientation of a camera with respect to a 3D world coordinate frame.
Project iconNonlinear Shape Registration without Correspondences
Sample implementation and benchmark dataset of a nonlinear registration algorithm for recovering planar homographies between 2D shapes.
Project iconSupervised Color Image Segmentation in a Markovian Framework
This is the sample implementation of a MRF-based color image segmentation algorithm.
Project iconSupervised Image Segmentation Using Markov Random Fields
This is the sample implementation of a MRF-based grayscale image segmentation algorithm.

Hichem Abdellali has been awarded the KÉPAF Kuba Attila prize...

2021-06-24


Zsolt Sánta has been awarded the Pro Laudanda Promotione prize...

2020-11-11