Visual tracking of known three-dimensional objects
International Journal of Computer Vision
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Model-based object pose in 25 lines of code
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
Visual Homing: Surfing on the Epipoles
International Journal of Computer Vision
Probabilistic 3D Object Recognition
International Journal of Computer Vision
3-D to 2-D Pose Determination with Regions
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
International Journal of Computer Vision - Special issue on image-based servoing
The Geometry and Matching of Lines and Curves Over Multiple Views
International Journal of Computer Vision
Robot Control: The Task Function Approach
Robot Control: The Task Function Approach
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Standard vision-based control techniques can be classified into two groups: model-based and model-free visual servoing. Model-based visual servoing is used when a 3D model of the observed object is available. If the 3D model is completely unknown, robot positioning can still be achieved using a tecching-by-showing approach. This model-free technique needs a preliminary learning step during which a reference image of the scene is stored. The objective of this paper is to propose an unified approach to vision-based control which can be used with a zooming camera whether the model of the object is known or not. The key idea of the unified approach is to build a reference in a projective space invariant to camera intrinsic parameters which can be computed if the model is known or if an image of the object is available. Thus, only one low level visual servoing technique must be implemented at once.