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 …
DF DeMenthon, LS Davis - International journal of computer vision, 1995 - Springer
In this paper, we describe a method for finding the pose of an object from a single image. We assume that we can detect and match in the image four or more noncoplanar feature points …
Estimating a camera pose given a set of 3D-object and 2D-image feature points is a well understood problem when correspondences are given. However, when such …
D DeMenthon, LS Davis - IEEE Transactions on Pattern Analysis …, 1992 - researchgate.net
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 …
V Lepetit, J Pilet, P Fua - … of the 2004 IEEE Computer Society …, 2004 - ieeexplore.ieee.org
We propose a novel approach to point matching under large viewpoint and illumination changes that are suitable for accurate object pose estimation at a much lower computational …
D Oberkampf, DF DeMenthon, LS Davis - Computer Vision and Image …, 1996 - Elsevier
This paper presents a new method for the computation of the position and orientation of a camera with respect to a known object, using four or morecoplanarfeature points. Starting …
DF DeMenthon, LS Davis - … —ECCV'92: Second European Conference on …, 1992 - Springer
We find the pose of an object from a single image when the relative geometry of four or more noncoplanar visible feature points is known. We first describe an algorithm, POS (Pose from …
M Lourakis, X Zabulis - International conference on computer vision …, 2013 - Springer
Determining the pose of objects appearing in images is a problem encountered often in several practical applications. The most effective strategy for dealing with this challenge is to …
IK Park, M Germann, MD Breitenstein… - Machine Vision and …, 2010 - Springer
We present a pose estimation method for rigid objects from single range images. Using 3D models of the objects, many pose hypotheses are compared in a data-parallel version of the …