Virtual reality, augmented reality, robotics, and autonomous driving, have recently attracted
much attention from both academic and industrial communities, in which image-based …

Camera localization involves the estimation of the camera pose of an image from a random
scene. We used a single image or sequence of images or videos as the input. The output …

This textbook on Photogrammetric Computer Vision–Statistics, Geometry, Orientation and
Reconstruction provides a statistical treatment of the geometry of multiple view analysis …

In this paper we study the problem of automatically generating polynomial solvers for
minimal problems. The main contribution is a new method for finding small elimination …

Image-based localization is a core component of many augmented/mixed reality (AR/MR)
and autonomous robotic systems. Current localization systems rely on the persistent storage …

Visual localization is the problem of estimating the position and orientation from which a
given image (or a sequence of images) is taken in a known scene. It is an important part of a …

In this paper, we present a new algorithm for finding all intersections of three quadrics. The
proposed method is algebraic in nature and it is considerably more efficient than the …

We introduce the distributed camera model, a novel model for Structure-from-Motion (SfM).
This model describes image observations in terms of light rays with ray origins and …

In this paper, we aim to solve the pose estimation problem of calibrated pinhole and
generalized cameras wrt a Structure-from-Motion (SfM) model by leveraging both 2D-3D …

Visual localization, ie, determining the position and orientation of a vehicle with respect to a
map, is a key problem in autonomous driving. We present a multi-camera visual inertial …