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Keywords
Template Matching
Template Matching
Publications: 2,993
|
Citation Count: 23,820
Stemming Variations:
template match, template matches, Templates Matching, template matchings, Template Matched
Cumulative
Annual
Definition Context
(2)
Template matching is a classical problem in computer vision. It consists in detecting the presence of a given template in a digital image. This task becomes considerably more complex with the invariance to rotation, scale, translation, brightness and contrast (RSTBC). A novel RSTBCinvariant robust template matching algorithm named Ciratefi was recently proposed. However, its execution in a conventional computer takes several seconds...
Henrique P. A. Nobre
,
et al.
Automatic VHDL generation for solving rotation and scale-invariant tem...
Template matching is the search for a known object, represented by a template image, at an arbitrary location within a larger image. The local measure of match is often desired to be invariant to certain transforms, such as rotation and dilation, of the template...
Brendt Wohlberg
,
et al.
Invariant Template Matching with Tangent Vectors
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Publications
(2993)
Performance Evaluation of Full Search Equivalent Pattern Matching Algorithms
Wanli Ouyang
,
Federico Tombari
,
Stefano Mattoccia
,
Luigi Di Stefano
,
W. K. Cham
Journal:
IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAMI
, vol. 34, no. 1, pp. 127-143, 2012
Synthesis of quantum circuits for linear nearest neighbor architectures
(
Citations: 3
)
Mehdi Saeedi
,
Robert Wille
,
Rolf Drechsler
Published in 2011.
A Dual-Bound Algorithm for Very Fast and Exact Template Matching
(
Citations: 2
)
Haim Schweitzer
,
Rui A. Deng
,
Robert Finis Anderson
Journal:
IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAMI
, vol. 33, no. 3, pp. 459-470, 2011
Extraction of expanded entity phrases
(
Citations: 1
)
James R. Johnson
,
Anita Miller
,
Latifur Khan
,
Bhavani Thuraisingham
,
Murat Kantarcioglu
Conference:
Intelligence and Security Informatics
, 2011
Combined Invariants to Similarity Transformation and to Blur Using Orthogonal Zernike Moments
(
Citations: 1
)
Beijing Chen
,
Huazhong Shu
,
Hui Zhang
,
Gouenou Coatrieux
,
Limin Luo
,
Jean-Louis Coatrieux
Journal:
IEEE Transactions on Image Processing
, vol. 20, no. 2, pp. 345-360, 2011