Least-Squares Fitting of Two 3-D Point Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
An analytic solution for the perspective 4-point problem
Computer Vision, Graphics, and Image Processing
Fitting Parameterized Three-Dimensional Models to Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Iterative pose estimation using coplanar feature points
Computer Vision and Image Understanding
Object Pose: The Link between Weak Perspective,Paraperspective, and Full Perspective
International Journal of Computer Vision
Geometric Camera Calibration Using Circular Control Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust camera parameter estimation using genetic algorithm
Pattern Recognition Letters
Model-Based Pose Estimation Using Genetic Algorithm
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Pose estimation for augmented reality applications using genetic algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Camera calibration with genetic algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Evolutionary computation techniques are being increasingly applied to a variety of practical and scientific problems. In this paper we present a evolutionary approach for pose estimation of a known object from one image. The method is intended to be used in pose estimation from only a few model point - image point correspondences, that is, in cases in which traditional approaches often fail.