TY - JOUR
T1 - Feature extraction and matching as signal detection
AU - Hu, Xiaoping
AU - Ahuja, Narendra
N1 - The support of National Science Foundation and Defense Advanced Research Projects Agency under grant IRI-89-02728, and the US Army Advanced Construction Technology Center under grant DAAL 03-87-K-0006, is gratefully acknowledged.
Army Advanced Construction Technology Center under grant DAAL 03—87—K—0006, is gratefully acknowledged.
The support of National Science Foundation and I)efense Advanced Research Projects Agency under grant IRI—89—02728, and the US
PY - 1993/3/11
Y1 - 1993/3/11
N2 - General aspects of feature extraction and matching are addressed, which include optimal principles, similarity measures, constraints, and heuristics. The common characteristics of feature extraction and matching are summarized which show that they can be considered as special cases of signal detection. However, the existing signal detection theories do not solve these problems readily. Therefore, a general formulation of feature extraction and matching as a problem of signal detection is desired and presented. This formulation considers feature extraction and matching as similar, subsequent processes, which well integrates the two different processes together to form an automatic system for image matching or object recognition. Guidelines for designing algorithms for detection or matching of arbitrary image features or patterns are derived which can be easily reconfigurated for many practical applications. Typical methods and the associated experiments with real image data are provided which demonstrate the superb performance of the methods.
AB - General aspects of feature extraction and matching are addressed, which include optimal principles, similarity measures, constraints, and heuristics. The common characteristics of feature extraction and matching are summarized which show that they can be considered as special cases of signal detection. However, the existing signal detection theories do not solve these problems readily. Therefore, a general formulation of feature extraction and matching as a problem of signal detection is desired and presented. This formulation considers feature extraction and matching as similar, subsequent processes, which well integrates the two different processes together to form an automatic system for image matching or object recognition. Guidelines for designing algorithms for detection or matching of arbitrary image features or patterns are derived which can be easily reconfigurated for many practical applications. Typical methods and the associated experiments with real image data are provided which demonstrate the superb performance of the methods.
UR - https://www.scopus.com/pages/publications/84939323036
UR - https://www.scopus.com/pages/publications/84939323036#tab=citedBy
U2 - 10.1117/12.141790
DO - 10.1117/12.141790
M3 - Conference article
AN - SCOPUS:84939323036
SN - 0277-786X
VL - 1964
SP - 51
EP - 65
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
T2 - Applications of Artificial Intelligence 1993: Machine Vision and Robotics
Y2 - 11 April 1993 through 16 April 1993
ER -