|
Records |
Links |
|
Author |
Anton Cervantes; Gemma Sanchez; Josep Llados; Agnes Borras; Ana Rodriguez |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
![find record details (via OpenURL) openurl](http://refbase.cvc.uab.es/img/xref.gif)
|
|
Title |
Biometric Recognition Based on Line Shape Descriptors |
Type |
Book Chapter |
|
Year |
2006 |
Publication |
Lecture Notes in Computer Science |
Abbreviated Journal |
|
|
|
Volume |
3926 |
Issue |
|
Pages |
346–357, |
|
|
Keywords |
|
|
|
Abstract |
Abstract. In this paper we propose biometric descriptors inspired by shape signatures traditionally used in graphics recognition approaches. In particular several methods based on line shape descriptors used to iden- tify newborns from the biometric information of the ears are developed. The process steps are the following: image acquisition, ear segmentation, ear normalization, feature extraction and identification. Several shape signatures are defined from contour images. These are formulated in terms of zoning and contour crossings descriptors. Experimental results are presented to demonstrate the effectiveness of the used techniques. |
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher ![sorted by Publisher field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
Springer Link |
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
DAG |
Approved |
no |
|
|
Call Number |
DAG @ dag @ CSL2006 |
Serial |
685 |
|
Permanent link to this record |
|
|
|
|
Author |
Sergio Vera; Debora Gil; Agnes Borras; F. Javier Sanchez; Frederic Perez; Marius G. Linguraru; Miguel Angel Gonzalez Ballester |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
![find book details (via ISBN) isbn](http://refbase.cvc.uab.es/img/isbn.gif)
|
|
Title |
Computation and Evaluation of Medial Surfaces for Shape Representation of Abdominal Organs |
Type |
Book Chapter |
|
Year |
2012 |
Publication |
Workshop on Computational and Clinical Applications in Abdominal Imaging |
Abbreviated Journal |
|
|
|
Volume |
7029 |
Issue |
|
Pages |
223–230 |
|
|
Keywords |
medial manifolds, abdomen. |
|
|
Abstract |
Medial representations are powerful tools for describing and parameterizing the volumetric shape of anatomical structures. Existing methods show excellent results when applied to 2D
objects, but their quality drops across dimensions. This paper contributes to the computation of medial manifolds in two aspects. First, we provide a standard scheme for the computation of medial
manifolds that avoid degenerated medial axis segments; second, we introduce an energy based method which performs independently of the dimension. We evaluate quantitatively the performance of our
method with respect to existing approaches, by applying them to synthetic shapes of known medial geometry. Finally, we show results on shape representation of multiple abdominal organs,
exploring the use of medial manifolds for the representation of multi-organ relations. |
|
|
Address |
Toronto; Canada; |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher ![sorted by Publisher field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
Springer Link |
Place of Publication |
Berlin |
Editor |
H. Yoshida et al |
|
|
Language |
English |
Summary Language |
English |
Original Title |
|
|
|
Series Editor |
|
Series Title |
Lecture Notes in Computer Science |
Abbreviated Series Title |
LNCS |
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
0302-9743 |
ISBN |
978-3-642-28556-1 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
ABDI |
|
|
Notes |
IAM;MV |
Approved |
no |
|
|
Call Number |
IAM @ iam @ VGB2012 |
Serial |
1834 |
|
Permanent link to this record |
|
|
|
|
Author |
Debora Gil; David Roche; Agnes Borras; Jesus Giraldo |
![goto web page (via DOI) doi](http://refbase.cvc.uab.es/img/doi.gif)
|
|
Title |
Terminating Evolutionary Algorithms at their Steady State |
Type |
Journal Article |
|
Year |
2015 |
Publication |
Computational Optimization and Applications |
Abbreviated Journal |
COA |
|
|
Volume |
61 |
Issue |
2 |
Pages |
489-515 |
|
|
Keywords |
Evolutionary algorithms; Termination condition; Steady state; Differential evolution |
|
|
Abstract |
Assessing the reliability of termination conditions for evolutionary algorithms (EAs) is of prime importance. An erroneous or weak stop criterion can negatively affect both the computational effort and the final result. We introduce a statistical framework for assessing whether a termination condition is able to stop an EA at its steady state, so that its results can not be improved anymore. We use a regression model in order to determine the requirements ensuring that a measure derived from EA evolving population is related to the distance to the optimum in decision variable space. Our framework is analyzed across 24 benchmark test functions and two standard termination criteria based on function fitness value in objective function space and EA population decision variable space distribution for the differential evolution (DE) paradigm. Results validate our framework as a powerful tool for determining the capability of a measure for terminating EA and the results also identify the decision variable space distribution as the best-suited for accurately terminating DE in real-world applications. |
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher ![sorted by Publisher field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
Springer US |
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
0926-6003 |
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
IAM; 600.044; 605.203; 600.060; 600.075 |
Approved |
no |
|
|
Call Number |
Admin @ si @ GRB2015 |
Serial |
2560 |
|
Permanent link to this record |
|
|
|
|
Author |
Francesc Tous; Agnes Borras; Robert Benavente; Ramon Baldrich; Maria Vanrell; Josep Llados |
![find record details (via OpenURL) openurl](http://refbase.cvc.uab.es/img/xref.gif)
|
|
Title |
Textual Descriptions for Browsing People by Visual Apperance. |
Type |
Book Chapter |
|
Year |
2002 |
Publication |
Lecture Notes in Artificial Intelligence |
Abbreviated Journal |
|
|
|
Volume |
2504 |
Issue |
|
Pages |
419-429 |
|
|
Keywords |
|
|
|
Abstract |
This paper presents a first approach to build colour and structural descriptors for information retrieval on a people database. Queries are formulated in terms of their appearance that allows to seek people wearing specific clothes of a given colour name or texture. Descriptors are automatically computed by following three essential steps. A colour naming labelling from pixel properties. A region seg- mentation step based on colour properties of pixels combined with edge information. And a high level step that models the region arrangements in order to build clothes structure. Results are tested on large set of images from real scenes taken at the entrance desk of a building |
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher ![sorted by Publisher field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
Springer Verlag |
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
DAG;CIC |
Approved |
no |
|
|
Call Number |
CAT @ cat @ TBB2002b |
Serial |
319 |
|
Permanent link to this record |