Fitting Parameterized Three-Dimensional Models to Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Exact and Approximate Solutions of the Perspective-Three-Point Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based object pose in 25 lines of code
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
Review and analysis of solutions of the three point perspective pose estimation problem
International Journal of Computer Vision
Real-time vision-based camera tracking for augmented reality applications
VRST '97 Proceedings of the ACM symposium on Virtual reality software and technology
Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Linear N-Point Camera Pose Determination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Complete Solution Classification for the Perspective-Three-Point Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
Linear Markers for Robot Navigation with Panoramic Vision
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
Stable Real-Time 3D Tracking Using Online and Offline Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Edge and Texture Information for Real-Time Accurate 3D Camera Tracking
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Randomized Trees for Real-Time Keypoint Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
MonoSLAM: Real-Time Single Camera SLAM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pose determination and plane measurement using a trapezium
Pattern Recognition Letters
Real-time camera tracking for marker-less and unprepared augmented reality environments
Image and Vision Computing
3D SSD tracking with estimated 3D planes
Image and Vision Computing
Omnidirectional Vision Tracking and Positioning for Vehicles
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 06
Monocular Model-Based 3D Location for Autonomous Robots
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Pose tracking from natural features on mobile phones
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
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The objective of this paper is to propose a new monocular-vision strategy for real-time positioning applications. This is an important aspect whose solution is still necessary in many autonomous landmark-based navigation systems that run in non-controlled environments. The method is based on the analysis of the properties of the projected image of a single pattern consisting of eight small dots belonging to the vertices of an octagon and one more dot in the centre of it. The paper discusses how the pose is calculated by using the parameters of the ellipse that best fits the dots of the pattern and the relative position of the dots in it. The first part of this document provides a qualitative comparison with regard to other similar approaches. The method presented here has several notable properties. Firstly, the pattern can be easily recognized in the image and, more importantly, works under occlusion and noise circumstances. Secondly, it is capable of working in real-time conditions and deals with ranges of 30-700cm. Finally, the method can be used on different applications (mobile robots and augmented reality systems) and yields better accuracy than others. An extensive report on experiments conducted in real situations is shown at the end of the paper. In order to make our method more compelling, an experimental comparison under occlusion and noise conditions is also made with one of the most widely used pose solutions, the ARToolkit method.