Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Uncertainty to Visual Exploration
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Context-Based Vision: Recognizing Objects Using Information from Both 2D and 3D Imagery
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Elements of information theory
Elements of information theory
Information-based objective functions for active data selection
Neural Computation
Finding the parts of objects in range images
Computer Vision and Image Understanding
Autonomous Exploration: Driven by Uncertainty
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface recovery from range images using curvature and motion consistency
Computer Vision and Image Understanding
On the Sequential Determination of Model Misfit
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
Occlusions as a Guide for Planning the Next View
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active Object Recognition Integrating Attention and Viewpoint Control
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
A Sensor-Based Solution to the Next Best View Problem
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Efficient Discriminant Viewpoint Selection for Active Bayesian Recognition
International Journal of Computer Vision
Active vision in robotic systems: A survey of recent developments
International Journal of Robotics Research
Aspects of optimal viewpoint selection and viewpoint fusion
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
A Computational Learning Theory of Active Object Recognition Under Uncertainty
International Journal of Computer Vision
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This paper introduces an information-based methodology for view selection that actively exploits prior knowledge about the objects to be found in a scene. The methodology is used to implement an active recognition strategy which effectively puts prior constraints from the object database into the gaze control (planning) loop. Theoretical results are presented and discussed along with promising experimental data.