| Absolute 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. | | Affine Registration of 3D Objects Sample implementation and benchmark dataset of a correspondence-free binary 3D image registration algorithm. |

| Affine Registration of Planar Shapes Sample implementation and benchmark dataset of a correspondence-free binary image registration algorithm. | | Collaborative 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. |

| Generalized 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. | | Multiview 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. |

| Nonlinear Shape Registration without Correspondences Sample implementation and benchmark dataset of a nonlinear registration algorithm for recovering planar homographies between 2D shapes. | | Supervised Color Image Segmentation in a Markovian Framework This is the sample implementation of a MRF-based color image segmentation algorithm. |

| Supervised Image Segmentation Using Markov Random Fields This is the sample implementation of a MRF-based grayscale image segmentation algorithm. |