Perceptual organization and the representation of natural form
Artificial Intelligence
Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovery of volumetric object descriptions from laser rangefinder images
ECCV 90 Proceedings of the first european conference on Computer vision
Describing Complicated Objects by Implicit Polynomials
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Autonomous Exploration: Driven by Uncertainty
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Sequential Determination of Model Misfit
IEEE Transactions on Pattern Analysis and Machine Intelligence
Superquadrics for Segmenting and Modeling Range Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Task-Oriented Generation of Visual Sensing Strategies in Assembly Tasks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active Object Recognition: Looking for Differences
International Journal of Computer Vision - Special issue: Research at McGill University
On the Sequential Accumulation of Evidence
International Journal of Computer Vision - Special issue: Research at McGill University
Conceptual Spaces for Computer Vision Representations
Artificial Intelligence Review
Uncertainty Minimization in the Localization of Polyhedral Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Registering Multiview Range Data to Create 3D Computer Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
View planning for automated three-dimensional object reconstruction and inspection
ACM Computing Surveys (CSUR)
Fast Recovery of Piled Deformable Objects Using Superquadrics
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Fitting Undeformed Superquadrics to Range Data: Improving Model Recovery and Classification
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
From Parametric Warping to the Cooperation of Local Features and Global Models
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
3D Object Depth Recovery from Highlights Using Active Sensor and Illumination Control
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Experimental comparison of superquadric fitting objective functions
Pattern Recognition Letters
3-D shape approximation using parametric geons
Image and Vision Computing
A method for footprint range image segmentation and description
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
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The authors attempt to determine what can be inferred from ambiguity in processes of visual interpretation. They discuss this question in a specific context: the interpretation of scene geometry in the form of parametrized volumetric models. Ambiguity is described as a local probabilistic property of the misfit error surface in the parameter space of superellipsoid models, namely, as an ellipsoid of confidence in which there is a given probability that the true parameters can be found. The authors show how to project the ellipsoid of confidence back into 3D space to obtain the shell in which the true 3D surface most probably lies and introduce what they call the uncertainty as a local property of the fitted model's surface. They propose a technique that can use this information to plan a new direction of view that minimizes the ambiguity of subsequent interpretation.