Determining camera parameters from the perspective projection of a rectangle
Pattern Recognition
Landmark recognition using invariant features
Pattern Recognition Letters
Camera calibration for road applications
Computer Vision and Image Understanding
Geometric Camera Calibration Using Circular Control Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Construction of Feature Landmark Database Using Omnidirectional Videos and GPS Positions
3DIM '07 Proceedings of the Sixth International Conference on 3-D Digital Imaging and Modeling
Pose determination and plane measurement using a trapezium
Pattern Recognition Letters
Single view based pose estimation from circle or parallel lines
Pattern Recognition Letters
Landmark Real-Time Recognition and Positioning for Pedestrian Navigation
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
3D real-time positioning for autonomous navigation using a nine-point landmark
Pattern Recognition
Heritage pieces integration in autonomous augmented reality systems: key problems and solutions
VAST'08 Proceedings of the 9th International conference on Virtual Reality, Archaeology and Cultural Heritage
| Hi-index | 0.00 |
The intelligence degree of a mobile robot is determined taking into account multitude of aspects concerning knowledge of the environment, intelligent decisions and suitable actions. The work presented in this paper focuses on answering an early and key question of an autonomous robot: where am I? We propose a monocular model-based strategy in which the eye of the robot can adapt focal and colour characteristics depending on the location of the robot. Through correspondences between a few points in the world coordinate system and their projections in the image plane of the camera, the method gives the 3D pose of the robot in the room and the location in the building. Our approach is being used for service robot applications inside buildings yielding excellent results. Experimentation, advantages and restriction of this technique are shown in the paper.