Pseudo-linearizing collinearity constraint for accurate pose estimation from a single image

Authors:
Yonghuai Liu;Horst Holstein
Affiliations:
Department of Computer Science, The University of Wales, Aberystwyth SY23 3DB, Wales, UK;Department of Computer Science, The University of Wales, Aberystwyth SY23 3DB, Wales, UK
Venue:
Pattern Recognition Letters
Year:
2004

Citing 15
Cited 5

The representation, recognition, and locating of 3-d objects

International Journal of Robotics Research
Pose Determination of a Three-Dimensional Object Using Triangle Pairs

IEEE Transactions on Pattern Analysis and Machine Intelligence
Determination of Camera Location from 2-D to 3-D Line and Point Correspondences

IEEE Transactions on Pattern Analysis and Machine Intelligence
Fitting Parameterized Three-Dimensional Models to Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Numerical recipes in C (2nd ed.): the art of scientific computing

Numerical recipes in C (2nd ed.): the art of scientific computing
Robust methods for estimating pose and a sensitivity analysis

CVGIP: Image Understanding
Object pose from 2-D to 3-D point and line correspondences

International Journal of Computer Vision
Optimal pose estimation in two and tree dimensions

Computer Vision and Image Understanding
Linear N-Point Camera Pose Determination

IEEE Transactions on Pattern Analysis and Machine Intelligence
Pose estimation using point and line correspondences

Real-Time Imaging
Decoupling Orientation Recovery from Position Recovery with 3D-2D Point Correspondences

Journal of Mathematical Imaging and Vision
Fast and Globally Convergent Pose Estimation from Video Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometrical Analysis of Two Sets of 3D Correspondence Data Patterns for the Registration of Free-Form Shapes

Journal of Intelligent and Robotic Systems
Performance of Constraint Based Pose Estimation Algorithms

Mustererkennung 2000, 22. DAGM-Symposium
Model-Based Pose Estimation Using Genetic Algorithm

ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1

A mean field annealing approach to accurate free form shape matching

Pattern Recognition
Inside looking out camera pose estimation for virtual studio

Graphical Models
Interactive high resolution texture mapping for the 3D models of cultural heritages

VSMM'07 Proceedings of the 13th international conference on Virtual systems and multimedia
Accurate camera calibration using the collinearity constraint

CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
An automatic and robust chessboard corner extraction

Transactions on edutainment VI

Quantified Score

Hi-index	0.10

Visualization

Abstract

The goal of this paper is twofold: firstly, we propose a novel interpretation for collinearity in the process of camera pose estimation from given correspondences between a 3D model and its 2D projective image. In contrast with the existing interpretations for collinearity, the focus of expansion (FOE) theory is a special case of our novel interpretation for collinearity and besides the projection of camera position on the image plane, every image point can become a FOE. Secondly, we propose a novel method, based on the collinearity equation, for camera pose estimation from given point correspondences between a 3D model and its projective image. A comparative study based on both synthetic data and real images has shown that the novel algorithm is promising.