| Records |
| Author |
Beata Megyesi; Alicia Fornes; Nils Kopal; Benedek Lang |
| Title |
Historical Cryptology |
Type |
Book Chapter |
| Year |
2024 |
Publication |
Learning and Experiencing Cryptography with CrypTool and SageMath |
Abbreviated Journal |
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Issue |
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Pages |
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| Abstract |
Historical cryptology studies (original) encrypted manuscripts, often handwritten sources, produced in our history. These historical sources can be found in archives, often hidden without any indexing and therefore hard to locate. Once found they need to be digitized and turned into a machine-readable text format before they can be deciphered with computational methods. The focus of historical cryptology is not primarily the development of sophisticated algorithms for decipherment, but rather the entire process of analysis of the encrypted source from collection and digitization to transcription and decryption. The process also includes the interpretation and contextualization of the message set in its historical context. There are many challenges on the way, such as mistakes made by the scribe, errors made by the transcriber, damaged pages, handwriting styles that are difficult to interpret, historical languages from various time periods, and hidden underlying language of the message. Ciphertexts vary greatly in terms of their code system and symbol sets used with more or less distinguishable symbols. Ciphertexts can be embedded in clearly written text, or shorter or longer sequences of cleartext can be embedded in the ciphertext. The ciphers used mostly in historical times are substitutions (simple, homophonic, or polyphonic), with or without nomenclatures, encoded as digits or symbol sequences, with or without spaces. So the circumstances are different from those in modern cryptography which focuses on methods (algorithms) and their strengths and assumes that the algorithm is applied correctly. For both historical and modern cryptology, attack vectors outside the algorithm are applied like implementation flaws and side-channel attacks. In this chapter, we give an introduction to the field of historical cryptology and present an overview of how researchers today process historical encrypted sources. |
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DAG |
Approved |
no |
| Call Number |
Admin @ si @ MFK2024 |
Serial |
4020 |
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| Author |
Joana Maria Pujadas-Mora; Alicia Fornes; Josep Llados; Anna Cabre |
| Title |
Bridging the gap between historical demography and computing: tools for computer-assisted transcription and the analysis of demographic sources |
Type |
Book Chapter |
| Year |
2016 |
Publication |
The future of historical demography. Upside down and inside out |
Abbreviated Journal |
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Issue |
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Pages |
127-131 |
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Acco Publishers |
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Editor |
K.Matthijs; S.Hin; H.Matsuo; J.Kok |
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ISBN |
978-94-6292-722-3 |
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| Notes |
DAG; 600.097 |
Approved |
no |
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Admin @ si @ PFL2016 |
Serial |
2907 |
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| Author |
Patricia Suarez; Angel Sappa; Boris X. Vintimilla |
| Title |
Deep learning-based vegetation index estimation |
Type |
Book Chapter |
| Year |
2021 |
Publication |
Generative Adversarial Networks for Image-to-Image Translation |
Abbreviated Journal |
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Issue |
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Pages |
205-234 |
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| Abstract |
Chapter 9 |
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Elsevier |
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Editor |
A.Solanki; A.Nayyar; M.Naved |
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MSIAU; 600.122 |
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no |
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Admin @ si @ SSV2021a |
Serial |
3578 |
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| Author |
Carles Fernandez; Pau Baiget; Xavier Roca; Jordi Gonzalez |
| Title |
Exploiting Natural Language Generation in Scene Interpretation |
Type |
Book Chapter |
| Year |
2009 |
Publication |
Human–Centric Interfaces for Ambient Intelligence |
Abbreviated Journal |
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| Volume |
4 |
Issue |
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Pages |
71–93 |
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Elsevier Science and Tech |
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ISE |
Approved |
no |
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ISE @ ise @ FBR2009 |
Serial |
1212 |
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| Author |
Javier Marin; David Geronimo; David Vazquez; Antonio Lopez |
| Title |
Pedestrian Detection: Exploring Virtual Worlds |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Handbook of Pattern Recognition: Methods and Application |
Abbreviated Journal |
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| Volume |
5 |
Issue |
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Pages |
145-162 |
| Keywords |
Virtual worlds; Pedestrian Detection; Domain Adaptation |
| Abstract |
Handbook of pattern recognition will include contributions from university educators and active research experts. This Handbook is intended to serve as a basic reference on methods and applications of pattern recognition. The primary aim of this handbook is providing the community of pattern recognition with a readable, easy to understand resource that covers introductory, intermediate and advanced topics with equal clarity. Therefore, the Handbook of pattern recognition can serve equally well as reference resource and as classroom textbook. Contributions cover all methods, techniques and applications of pattern recognition. A tentative list of relevant topics might include: 1- Statistical, structural, syntactic pattern recognition. 2- Neural networks, machine learning, data mining. 3- Discrete geometry, algebraic, graph-based techniques for pattern recognition. 4- Face recognition, Signal analysis, image coding and processing, shape and texture analysis. 5- Document processing, text and graphics recognition, digital libraries. 6- Speech recognition, music analysis, multimedia systems. 7- Natural language analysis, information retrieval. 8- Biometrics, biomedical pattern analysis and information systems. 9- Other scientific, engineering, social and economical applications of pattern recognition. 10- Special hardware architectures, software packages for pattern recognition. |
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| Publisher |
iConcept Press |
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English |
Summary Language |
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Edition |
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ISBN |
978-1-477554-82-1 |
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ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ MGV2012 |
Serial |
1979 |
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| Author |
Jose Manuel Alvarez; Antonio Lopez |
| Title |
Photometric Invariance by Machine Learning |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Color in Computer Vision: Fundamentals and Applications |
Abbreviated Journal |
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| Volume |
7 |
Issue |
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Pages |
113-134 |
| Keywords |
road detection |
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| Publisher |
iConcept Press Ltd |
Place of Publication |
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Editor |
Theo Gevers, Arjan Gijsenij, Joost van de Weijer, Jan-Mark Geusebroek |
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Series Issue |
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Edition |
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ISBN |
978-0-470-89084-4 |
Medium |
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Expedition |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ AlL2012 |
Serial |
2186 |
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| Author |
Fadi Dornaika; Bogdan Raducanu |
| Title |
Subtle Facial Expression Recognition in Still Images and Videos |
Type |
Book Chapter |
| Year |
2011 |
Publication |
Advances in Face Image Analysis: Techniques and Technologies |
Abbreviated Journal |
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| Volume |
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Issue |
14 |
Pages |
259-277 |
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| Abstract |
This chapter addresses the recognition of basic facial expressions. It has three main contributions. First, the authors introduce a view- and texture independent schemes that exploits facial action parameters estimated by an appearance-based 3D face tracker. they represent the learned facial actions associated with different facial expressions by time series. Two dynamic recognition schemes are proposed: (1) the first is based on conditional predictive models and on an analysis-synthesis scheme, and (2) the second is based on examples allowing straightforward use of machine learning approaches. Second, the authors propose an efficient recognition scheme based on the detection of keyframes in videos. Third, the authors compare the dynamic scheme with a static one based on analyzing individual snapshots and show that in general the former performs better than the latter. The authors then provide evaluations of performance using Linear Discriminant Analysis (LDA), Non parametric Discriminant Analysis (NDA), and Support Vector Machines (SVM). |
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IGI-Global |
Place of Publication |
New York, USA |
Editor |
Yu-Jin Zhang |
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ISBN |
978-1-6152-0991-0 |
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| Notes |
OR;MV |
Approved |
no |
| Call Number |
Admin @ si @ DoR2011 |
Serial |
1751 |
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| Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Horst Bunke |
| Title |
Writer Identification in Old Handwritten Music Scores |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology |
Abbreviated Journal |
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Issue |
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Pages |
27-63 |
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| Abstract |
The aim of writer identification is determining the writer of a piece of handwriting from a set of writers. In this paper we present a system for writer identification in old handwritten music scores. Even though an important amount of compositions contains handwritten text in the music scores, the aim of our work is to use only music notation to determine the author. The steps of the system proposed are the following. First of all, the music sheet is preprocessed and normalized for obtaining a single binarized music line, without the staff lines. Afterwards, 100 features are extracted for every music line, which are subsequently used in a k-NN classifier that compares every feature vector with prototypes stored in a database. By applying feature selection and extraction methods on the original feature set, the performance is increased. The proposed method has been tested on a database of old music scores from the 17th to 19th centuries, achieving a recognition rate of about 95%. |
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IGI-Global |
Place of Publication |
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Editor |
Copnstantin Papaodysseus |
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Original Title |
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DAG |
Approved |
no |
| Call Number |
Admin @ si @ FLS2012 |
Serial |
1828 |
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| Author |
Xavier Perez Sala; Laura Igual; Sergio Escalera; Cecilio Angulo |
| Title |
Uniform Sampling of Rotations for Discrete and Continuous Learning of 2D Shape Models |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Vision Robotics: Technologies for Machine Learning and Vision Applications |
Abbreviated Journal |
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Issue |
2 |
Pages |
23-42 |
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| Abstract |
Different methodologies of uniform sampling over the rotation group, SO(3), for building unbiased 2D shape models from 3D objects are introduced and reviewed in this chapter. State-of-the-art non uniform sampling approaches are discussed, and uniform sampling methods using Euler angles and quaternions are introduced. Moreover, since presented work is oriented to model building applications, it is not limited to general discrete methods to obtain uniform 3D rotations, but also from a continuous point of view in the case of Procrustes Analysis. |
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IGI-Global |
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| Notes |
MILAB;HuPBA |
Approved |
no |
| Call Number |
Admin @ si @ PIE2012 |
Serial |
2064 |
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| Author |
Fadi Dornaika; Bogdan Raducanu |
| Title |
Facial Expression Recognition for HCI Applications |
Type |
Book Chapter |
| Year |
2008 |
Publication |
Encyclopedia of Artificial Intelligence |
Abbreviated Journal |
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| Volume |
II |
Issue |
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Pages |
625–631 |
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| Publisher |
IGI–Global Publisher |
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Editor |
Rabuñal |
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OR;MV |
Approved |
no |
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BCNPCL @ bcnpcl @ DoR2008c |
Serial |
1034 |
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| Author |
Aura Hernandez-Sabate; Debora Gil |
| Title |
The Benefits of IVUS Dynamics for Retrieving Stable Models of Arteries |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Intravascular Ultrasound |
Abbreviated Journal |
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Issue |
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Pages |
185-206 |
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Intech |
Place of Publication |
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Editor |
Yasuhiro Honda |
| Language |
English |
Summary Language |
english |
Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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ISBN |
978-953-307-900-4 |
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Conference |
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| Notes |
IAM; ADAS |
Approved |
no |
| Call Number |
IAM @ iam @ HeG2012 |
Serial |
1684 |
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| Author |
Jorge Bernal; Fernando Vilariño; F. Javier Sanchez |
| Title |
Towards Intelligent Systems for Colonoscopy |
Type |
Book Chapter |
| Year |
2011 |
Publication |
Colonoscopy |
Abbreviated Journal |
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| Volume |
1 |
Issue |
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Pages |
257-282 |
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| Abstract |
In this chapter we present tools that can be used to build intelligent systems for colonoscopy.
The idea is, by using methods based on computer vision and artificial intelligence, add significant value to the colonoscopy procedure. Intelligent systems are being used to assist in other medical interventions |
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Thesis |
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| Publisher |
Intech |
Place of Publication |
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Editor |
Paul Miskovitz |
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Summary Language |
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Original Title |
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Series Title |
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Series Issue |
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Edition |
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ISBN |
978-953-307-568-6 |
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800 |
Expedition |
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Conference |
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| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
IAM @ iam @ BVS2011 |
Serial |
1697 |
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| Author |
Fernando Vilariño; Petia Radeva |
| Title |
Cardiac Segmentation with Discriminant Active Contours |
Type |
Book Chapter |
| Year |
2003 |
Publication |
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Abbreviated Journal |
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Issue |
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Pages |
211–217 |
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| Abstract |
Dynamic tracking of heart moving is one relevant target in medical imag- ing and can be helpful for analyzing heart dynamics in the study of several cardiac diseases. For this aim, a previous segmentation problem of such structures is stated, based on certain relevant features (like edges or intensity levels, textures, etc.) Clas- sical active models have been used, but they fail when overlapping structures or not well-defined contours are present. Automatic feature learning systems may be a pow- erful tool. Discriminant active contours present optimal results in this kind of problem. They are a kind of deformable models that converge to an optimal object segmenta- tion that dynamically adapts to the object contour. The feature space is designed from a filter bank in order to guarantee the search and learning of the set of relevant fea- tures for optimal classification on each part of the object. Tracking of target evolution is obtained through the whole set of images, using information from the actual and previous stages. Feedback systems are implemented to guarantee the minimum well- separable classification set in each segmentation step. Our implementation has been proved with several series of Magnetic Resonance with improved results in segmenta- tion in comparison to previous methods. |
| Address |
Palma de Mallorca |
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IOS Press |
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Conference |
CCIA |
| Notes |
MV;MILAB;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ ViR2003; IAM @ iam @ VRa2003 |
Serial |
426 |
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| Author |
Antonio Lopez; W. Niessen; Joan Serrat; K. Nikolay; B. Ter Haar Romeny; Juan J. Villanueva; M. Viergerver |
| Title |
New improvements in the multiscale analysis of trabecular bone patterns |
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Book Chapter |
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2000 |
Publication |
Pattern Recognition and Applications |
Abbreviated Journal |
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Pages |
251-260 |
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| Publisher |
IOS Press |
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ADAS |
Approved |
no |
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Admin @ si @ |
Serial |
3418 |
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| Author |
Jaume Garcia; Petia Radeva; Francesc Carreras |
| Title |
Combining Spectral and Active Shape methods to Track Tagged MRI |
Type |
Book Chapter |
| Year |
2004 |
Publication |
Recent Advances in Artificial Intelligence Research and Development |
Abbreviated Journal |
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Issue |
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Pages |
37-44 |
| Keywords |
MR; tagged MR; ASM; LV segmentation; motion estimation. |
| Abstract |
Tagged magnetic resonance is a very usefull and unique tool that provides a complete local and global knowledge of the left ventricle (LV) motion. In this article we introduce a method capable of tracking and segmenting the LV. Spectral methods are applied in order to obtain the so called HARP images which encode information about movement and are the base for LV point-tracking. For segmentation we use Active Shapes (ASM) that model LV shape variation in order to overcome possible local misplacements of the boundary. We finally show experiments on both synthetic and real data which appear to be very promising. |
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Thesis |
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| Publisher |
IOS Press |
Place of Publication |
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Summary Language |
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Original Title |
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Edition |
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Conference |
CCIA |
| Notes |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ GRC2004 |
Serial |
1488 |
| Permanent link to this record |
