Return to search

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 systems work well. With uncertain image data, however, their performance is less clear. We examine the effects of 2D sensor uncertainty on the computation of 3D model transformations. We use this analysis to bound the uncertainty in the transformation parameters, and the uncertainty associated with transforming other model features into the image. We also examine the impact of the such transformation uncertainty on recognition methods.

Identiferoai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/5959
Date01 July 1992
CreatorsGrimson, W. Eric, Huttenlocher, Daniel P., Alter, T. D.
Source SetsM.I.T. Theses and Dissertation
Languageen_US
Detected LanguageEnglish
Format32 p., 137449 bytes, 547073 bytes, application/octet-stream, application/pdf
RelationAIM-1362

Page generated in 0.0033 seconds