A fundamental open problem in computer vision—determining pose and correspondence
between two sets of points in space—is solved with a novel, fast, robust and easily …

A fundamental open problem in computer vision-determining pose and correspondence
between two sets of points in space (cid: 173) is solved with a novel, robust and easily …

The problem of pose estimation arises in many areas of computer vision, including object
recognition, object tracking, site inspection and updating, and autonomous navigation when …

The problem of pose estimation arises in many areas of computer vision, including object
recognition, object tracking, site inspection and updating, and autonomous navigation using …

We present a new robust line matching algorithm for solving the model-to-image registration
problem. Given a model consisting of 3D lines and a cluttered perspective image of this …

Pose determination involves finding the position and orientation of an object with respect to
a known coordinate frame by using a number of matched features. We consider a specific …

Point set pattern matching is an integral part of many pattern recognition problems. We study
a randomized algorithm for the alignment approach to model-based recognition. Under …

Model-based pose estimation techniques that match image and model triangles require
large numbers of matching operations in realworld applications. We show that by using …

Estimation of camera pose from an image of n points or lines with known correspondence is
a thoroughly studied problem in computer vision. Most solutions are iterative and depend on …

Estimating the pose of a plane given a set of point correspondences is a core problem in
computer vision with many applications including Augmented Reality (AR), camera …