Automatic Sensor Placement from Vision Task Requirements
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special Issue on Industrial Machine Vision and Computer Vision Technology:8MPart
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Model Construction and Shape Recognition from Occluding Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inherent Ambiguities in Recovering 3-D Motion and Structure from a Noisy Flow Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Maximum Likelihood Framework for Determining Moving Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic reasoning in expert systems: theory and algorithms
Probabilistic reasoning in expert systems: theory and algorithms
Artificial Intelligence
Controlling eye movements with hidden Markov models
International Journal of Computer Vision
Promising directions in active vision
International Journal of Computer Vision
Recovering shape by purposive viewpoint adjustment
International Journal of Computer Vision - Special issue on active vision II
Control of selective perception using Bayes nets and decision theory
International Journal of Computer Vision - Special issue on active vision II
Visual surveillance in a dynamic and uncertain world
Artificial Intelligence - Special volume on computer vision
Structure From Controlled Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
X Vision: a portable substrate for real-time vision applications
Computer Vision and Image Understanding
A local method for contour matching and its parallel implementation
Machine Vision and Applications
Representing Uncertain Knowledge: An Artificial Intelligence Approach
Representing Uncertain Knowledge: An Artificial Intelligence Approach
Robot Control: The Task Function Approach
Robot Control: The Task Function Approach
Occlusions as a Guide for Planning the Next View
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated Model Acquisition from Range Images with View Planning
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Controlled camera motions for scene reconstruction and exploration
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
A new approach to automatic reconstruction of a 3-D world using active stereo vision
Computer Vision and Image Understanding
Active vision in robotic systems: A survey of recent developments
International Journal of Robotics Research
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We propose in this paper an active vision approach forperforming the 3D reconstruction of static scenes. Theperception-action cycles are handled at various levels: from thedefinition of perception strategies for scene exploration downto theautomatic generation of camera motions using visual servoing. Toperform the reconstruction, we use a structure from controlled motionmethod which allows an optimal estimation of geometrical primitiveparameters. As this method is based on particular camera motions,perceptual strategies able to appropriately perform a succession ofsuch individual primitive reconstructions are proposed in order torecover the complete spatial structure of the scene. Two algorithmsare proposed to ensure the exploration of the scene. The former isan incremental reconstruction algorithm based on the use of aprediction/verification scheme managed using decision theory andBayes nets. It allows the visual system to get a high leveldescription of the observed part of the scene. The latter, based onthe computation of new viewpoints ensures the complete reconstructionof the scene. Experiments carried out on a robotic cell havedemonstrated the validity of our approach.