Computing exact aspect graphs of curved objects: algebraic surfaces
International Journal of Computer Vision
The nature of statistical learning theory
The nature of statistical learning theory
Classifier and shift-invariant automatic target recognition neural networks
Neural Networks - Special issue: automatic target recognition
Probabilistic 3D Object Recognition
International Journal of Computer Vision
Shape matching using edit-distance: an implementation
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
Probabilistic Models of Appearance for 3-D Object Recognition
International Journal of Computer Vision
Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Similarity-Based Aspect-Graph Approach to 3D Object Recognition
International Journal of Computer Vision
An Invitation to 3-D Vision: From Images to Geometric Models
An Invitation to 3-D Vision: From Images to Geometric Models
Probabilistic Object Recognition Using Multidimensional Receptive Field Histograms
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
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In this paper, a scheme of probabilistic 3D object recognition from 2D view sequence is presented. For the tradeoff between information simplicity and sufficiency, based on similarity measure, proper invariant characteristic set is first acquired in a model view learning procedure. A discrete, nonparametric probabilistic strategy then estimates the overall functional form of posterior probability distribution P(O"n|I) in several simplifications and modifications, which captures the joint statistics of local pattern and position as well as the statistics of local pattern in the visual world at large, by counting the occurrence frequency of patterns over various objects. The decision is made on maximum a posteriori (MAP) estimation in Bayes decision rule. An evidence accumulation mechanism is finally introduced for effect improvement. Simulation experiment has demonstrated promising results, achieved omnidirectional information, and proved effective, superior and feasible in the approach proposed.