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Limitations of Geometric Hashing in the Presence of Gaussian Noise
This paper presents a detailed error analysis of geometric hashing for 2D object recogition. We analytically derive the probability of false positives and negatives as a function of the number of model and image, ...
Recognizing 3D Ojbects of 2D Images: An Error Analysis
Many object recognition systems use a small number of pairings of data and model features to compute the 3D transformation from a model coordinate frame into the sensor coordinate system. With perfect image data, these ...