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Automatic Identification of Textcoded Measurement Targets
Author(s) -
Michaelis M.
Publication year - 2000
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/0031-868x.00153
Subject(s) - identification (biology) , automation , metrology , robustness (evolution) , computer science , computer vision , artificial intelligence , context (archaeology) , data mining , engineering , geography , mathematics , statistics , mechanical engineering , biochemistry , botany , chemistry , archaeology , gene , biology
A method is presented which makes a valuable contribution to automation in close range metrology. Successful identification of textcoded measurement targets has three essential characteristics: (1) large and easily expandable code depth; (2) robustness with respect to radiometric and geometric influences; and (3) rejection capability in case of low identification quality. The proposed method of text recognition of target labels is based on experience which has been gradually accumulated in the context of automated document analysis at the DaimlerChrysler Research Center.