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Departamento de Informática da Universidade da Beira
Interior |
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Contact: SOCIA Lab. – Soft Computing and Image Analysis
Group Department
of Computer Science, University of Beira Interior, 6201-001 Covilhã, Portugal |
News: ·
September 06th, 2010: The
classification of the NICE.II best participants is available on the
contest website. Additionally, the full classification results were
sent by email to all participants.
Participants invited to publish their approach in the Pattern Recognition Letters Journal:
·
October 23th, 2009: The automatic JAVA Evaluation
Framework and the UBIRIS.v2 training data set composed by 1 000 iris images
and the corresponding segmentation maps are already available for
participants. Please download them at the bottom of the “Registered
Participants” web page.
·
October 23th, 2009: The automatic JAVA Evaluation
Framework and the UBIRIS.v2 training data set composed by 1 000 iris images
and the corresponding segmentation maps are already available for
participants. Please download them at the bottom of the “Registered
Participants” web page. ·
October 15th, 2009: In opposition to the NICE.I
contest, the NICE:II Organizing Committee decided not to impose a deadline
for the registration of new participants and for the deliverance of the
training data. This time, as soon as participants register in the contest,
they immediately receive the training data set and the automatic evaluation
software. ·
October 13th, 2009: The Pattern Recognition Letters
Journal
(Elsevier, ISI Web of KnowledgeSM indexed) officially accepted to
publish a special issue with the NICE:II best participations. Thus, authors of
the proposals that achieve the best 8 results will be invited to publish a
paper describing their method. ·
October 13th, 2009: The website of the NICE:II contest
is online. The UBIRIS databases were developed within
the SOCIA Lab. (Soft Computing and Image Analysis Group) of the
University of Beira Interior (Portugal). They contain visible wavelength iris
images captured in heterogeneous lighting conditions, which leaded to the
appearance of highly degraded images. These databases were downloaded by over
800 users (individuals and academic,
research and commercial institutions) from over 70 different countries.
Fig.
1: Examples of UBIRIS images and of the corresponding iris segmentation maps. The NICE.I was held by the SOCIA Lab. and
focused in the segmentation and detection of noisy regions of visible
wavelength degraded iris data. It received over 90 participants from 20
different countries and the best 10 participations were invited to publish
their approach in a special issue of
the Image and Vision Computing Journal (Elsevier). Also, all the
remaining participants published their method in the Proceedings of the NICE.I contest (that will appear simoultaneously
with the IVC special issue). The NICE:II (Noisy Iris Challenge Evaluation - Part II) is the
complementary part of its antecessor and aims to complete the Pattern
Recognition process: ·
It
also operates on iris images similar to the ones of the UBIRIS.v2. ·
It
is exclusively focused in the signatures encoding and matching stages
of degraded visible wavelength iris images previously segmented, according to the segmentation method that outperformed in the segmentation contest
(NICE.I). |
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DI-UBI Bloco VI Rua Marquês de Ávila e
Bolama P- 6201-001 Covilhã PORTUGAL