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Author |
Fadi Dornaika; Bogdan Raducanu |
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Title |
Facial Expression Recognition for HCI Applications |
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Book Chapter |
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Year |
2008 |
Publication |
Encyclopedia of Artificial Intelligence |
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II |
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625–631 |
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IGI–Global Publisher |
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Rabuñal |
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OR;MV |
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BCNPCL @ bcnpcl @ DoR2008c |
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1034 |
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Author |
Bogdan Raducanu; Fadi Dornaika |
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Title |
Dynamic Vs. Static Recognition of Facial Expressions |
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Book Chapter |
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Year |
2008 |
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Ambient Intelligence. European Conference |
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5355 |
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13–25 |
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Nuremberg (Germany) |
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Rabuñal |
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AMI |
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OR; MV |
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BCNPCL @ bcnpcl @ RaD2008 |
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1035 |
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Author |
Carlo Gatta; Oriol Pujol; Oriol Rodriguez-Leor; J. Mauri; Petia Radeva |
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Title |
Robust Image-based IVUS Pullbacks Gating |
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Book Chapter |
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Year |
2008 |
Publication |
Proceedings 11th International ConferenceMedical Image Computing and Computer–Assisted Intervention |
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5242 |
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518–525 |
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NY (USA) |
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MICCAI |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ GPR2008a |
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1037 |
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Author |
Fadi Dornaika; Angel Sappa |
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Title |
Real Time Image Registration for Planar Structure and 3D Sensor Pose Estimation |
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Book Chapter |
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Year |
2008 |
Publication |
Stereo Vision |
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Volume |
18 |
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299–316 |
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Asim Bhatti |
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ADAS @ adas @ DoS2008c |
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1057 |
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Author |
Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados |
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Title |
Categorization of Digital Ink Elements using Spectral Features |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Graphics Recognition: Recent Advances and New Opportunities |
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Volume |
5046 |
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Pages |
188–198 |
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Springer–Verlag |
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W. Liu, J. Llados, J.M. Ogier |
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DAG |
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DAG @ dag @ RSL2008 |
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1099 |
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Author |
David Aldavert; Ricardo Toledo |
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Title |
Stereo Vision Local Map Alignment for Robot Environment Mapping |
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Book Chapter |
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Year |
2008 |
Publication |
Robot Vision Second International Workshop, RobVis |
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Volume |
4931 |
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Pages |
111–124 |
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Auckland (New Zealand) |
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Admin @ si @ AlT2008 |
Serial |
1100 |
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Author |
Niki Aifanti; Angel Sappa; N. Grammalidis; Sotiris Malassiotis |
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Title |
Advances in Tracking and Recognition of Human Motion |
Type |
Book Chapter |
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Year |
2009 |
Publication |
Encyclopedia of Information Science and Technology |
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I |
Issue |
2nd edition |
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65–71 |
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ADAS |
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ADAS @ adas @ ASG2009 |
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1143 |
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Author |
Carles Fernandez; Pau Baiget; Xavier Roca; Jordi Gonzalez |
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Title |
Exploiting Natural Language Generation in Scene Interpretation |
Type |
Book Chapter |
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Year |
2009 |
Publication |
Human–Centric Interfaces for Ambient Intelligence |
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4 |
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Pages |
71–93 |
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Elsevier Science and Tech |
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ISE |
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ISE @ ise @ FBR2009 |
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1212 |
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Author |
Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis |
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Title |
Prior Knowledge Based Motion Model Representation |
Type |
Book Chapter |
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Year |
2009 |
Publication |
Progress in Computer Vision and Image Analysis |
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16 |
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Horst Bunke; JuanJose Villanueva; Gemma Sanchez |
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ADAS |
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no |
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Call Number |
ADAS @ adas @ SAM2009 |
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1235 |
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Author |
Jaume Garcia; Petia Radeva; Francesc Carreras |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Combining Spectral and Active Shape methods to Track Tagged MRI |
Type |
Book Chapter |
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Year |
2004 |
Publication |
Recent Advances in Artificial Intelligence Research and Development |
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Pages |
37-44 |
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Keywords |
MR; tagged MR; ASM; LV segmentation; motion estimation. |
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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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IOS Press |
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CCIA |
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IAM;MILAB |
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IAM @ iam @ GRC2004 |
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1488 |
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Author |
Debora Gil; Petia Radeva |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Inhibition of False Landmarks |
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Book Chapter |
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Year |
2004 |
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Recent Advances in Artificial Intelligence Research and Development |
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233-244 |
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We argue that a corner detector should be based on the degree of continuity of the tangent vector to the image level sets, work on the image domain and need no assumptions on neither the image local structure nor the particular geometry of the corner/junction. An operator measuring the degree of differentiability of the projection matrix on the image gradient fulfills the above requirements. Its high sensitivity to changes in vector directions makes it suitable for landmark location in real images prone to need smoothing to reduce the impact of noise. Because using smoothing kernels leads to corner misplacement, we suggest an alternative fake response remover based on the receptive field inhibition of spurious details. The combination of both orientation discontinuity detection and noise inhibition produce our Inhibition Orientation Energy (IOE) landmark locator. |
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IOS Press |
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Barcelona (Spain) |
Editor |
al, J.V. et |
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IAM;MILAB |
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IAM @ iam @ GiR2004a |
Serial |
1533 |
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Author |
F.Guirado; Ana Ripoll; C.Roig; Aura Hernandez-Sabate; Emilio Luque |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Exploiting Throughput for Pipeline Execution in Streaming Image Processing Applications |
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Book Chapter |
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Year |
2006 |
Publication |
Euro-Par 2006 Parallel Processing |
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LNCS |
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Volume |
4128 |
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Pages |
1095-1105 |
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12th International Euro–Par Conference |
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Abstract |
There is a large range of image processing applications that act on an input sequence of image frames that are continuously received. Throughput is a key performance measure to be optimized when execu- ting them. In this paper we propose a new task replication methodology for optimizing throughput for an image processing application in the field of medicine. The results show that by applying the proposed methodo- logy we are able to achieve the desired throughput in all cases, in such a way that the input frames can be processed at any given rate. |
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Springer-Verlag Berlin Heidelberg |
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Dresden, Germany (European Union) |
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UAB; W, E.N.; et al. |
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Lecture Notes In Computer Science |
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IAM |
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IAM @ iam @ GRR2006a |
Serial |
1542 |
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Author |
Josep Llados; Ernest Valveny; Enric Marti |
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Title |
Symbol Recognition in Document Image Analysis: Methods and Challenges |
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Book Chapter |
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Year |
2000 |
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Recent Research Developments in Pattern Recognition, Transworld Research Network, |
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1 |
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151–178. |
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81-86846-61-1 |
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DAG;IAM |
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IAM @ iam @ LVM2000 |
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1575 |
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Author |
Enric Marti; Jordi Regincos; Juan Jose Villanueva; Jaime Lopez-Krahe |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Line drawing interpretation as polyhedral objects to man-machine interaction in CAD systems |
Type |
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Year |
1994 |
Publication |
Advances in Pattern Recognition and Image Analysis, |
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158-169 |
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World Scientific Pub. |
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981-02-1872-9 |
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IAM;ISE |
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IAM @ iam @ MRL1994 |
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1609 |
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Author |
Javier Marin; David Geronimo; David Vazquez; Antonio Lopez |
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Title |
Pedestrian Detection: Exploring Virtual Worlds |
Type |
Book Chapter |
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Year |
2012 |
Publication |
Handbook of Pattern Recognition: Methods and Application |
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5 |
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145-162 |
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Virtual worlds; Pedestrian Detection; Domain Adaptation |
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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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iConcept Press |
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English |
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978-1-477554-82-1 |
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ADAS |
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no |
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ADAS @ adas @ MGV2012 |
Serial |
1979 |
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