Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Object Description and Recognition"'
Autor:
Srinivasa Perumal Ramalingam
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 19, Iss 3 (2020)
Face analysis, which includes face recognition and facial expression recognition, has been attempted by many researchers and gave ideal solutions. The problem is still active and challenging due to an increase in the complexity of the problem viz. du
Externí odkaz:
https://doaj.org/article/805b4a8b38354528ab27bdd83f3b6bd6
Autor:
Vishwas Raval
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 18, Iss 2 (2020)
The God created this universe with all living and non-living entities. Human is one of the best among His creations. For human beings, eyes are the best gift of the God to see all His creations. As of now, human beings are considered as the only deve
Externí odkaz:
https://doaj.org/article/f1e52faf4870463d8b1be6d665effede
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 18, Iss 1 (2019)
The last few decades have witnessed various approaches to automate the process of plant classification using the characteristics of the leaf. Several approaches have been proposed, and the majority focused on global shape features. However, one chall
Externí odkaz:
https://doaj.org/article/68a05503b40e40efb077501c683576a9
Autor:
Laura Fernández-Robles
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 16, Iss 2 (2018)
This work proposes and evaluates object description and retrieval techniques in different real applications. It addresses the classification of boar spermatozoa according to acrosome integrity using several methods based on invariant local features.
Externí odkaz:
https://doaj.org/article/f912c901d2c4496ca69a8223c717cb1e
Autor:
Eduardo Fidalgo Fernández
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 16, Iss 2 (2018)
One of the main challenges in computer vision is image classification. Nowadays the number of images increases exponentially every day; therefore, it is important to classify them in a reliable way. The conventional image classification pipeline usua
Externí odkaz:
https://doaj.org/article/1bb61b106ae946ad85931ec663053466
Autor:
Dounia Awad
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 14, Iss 3 (2015)
[1] demonstrated that humans are easily able to recognize an object in less than 0.5 seconds. Unfortunately, object recognition remains one of the most challenging problems in computer vision. Many algorithms based on local approaches have been propo
Externí odkaz:
https://doaj.org/article/4fe88863d3364bdda8c6dff2e3ed6f77
Autor:
Markus Lessmann
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 14, Iss 3 (2015)
A lot of progress in the field of invariant object recognition has been made in recent years using so called deep neural networks with several layers to be trained which can learn patterns of increasing complexity. This architectural feature can alre
Externí odkaz:
https://doaj.org/article/93114f4725734b288fa3b94c4b579b65
Autor:
Xiaolong Wang, Cuixia Chen
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 12, Iss 1 (2013)
This paper proposes an automatic ship detection method based on gray-level gathering characteristics of synthetic aperture radar (SAR) imagery. The method does not require any prior knowledge about ships and background observation. It uses a novel lo
Externí odkaz:
https://doaj.org/article/bf42cd3020034810a58ba5bdbc6f927d
Autor:
Barbara Caputo, Luo Jie
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 8, Iss 3 (2010)
Local features have repeatedly shown their effectiveness for object recognition during the last years, and they have consequently become the preferred descriptor for this type of problems. The solution of the correspondence problem is traditionally a
Externí odkaz:
https://doaj.org/article/e2008c32c6764ed4954166a331f48e81
Autor:
Michela Lecca
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 8, Iss 2 (2009)
In this paper, we propose a visual attention module that automatically detects the regions of an input previously unseen image, which are more likely occupied by a known object. The module can be integrated in many object recognition systems for redu
Externí odkaz:
https://doaj.org/article/0b527e6fba93464a9d200bea95864d50