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Author |
Oriol Ramos Terrades; Ernest Valveny |
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Title |
Line Detection Using Ridgelets Transform for Graphic Symbol Representation |
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Miscellaneous |
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2003 |
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In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science 2652:829–837 |
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DAG |
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DAG @ dag @ RaV2003a |
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403 |
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Author |
Daniel Ponsa; Xavier Roca |
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Title |
Multiple Model Approach to Deformable Shape Tracking |
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2003 |
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In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science 2652:782–792 |
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ADAS @ adas @ PoR2003 |
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397 |
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Author |
Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
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Title |
Automatic Keyframing of Human Actions for Computer Animation |
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Miscellaneous |
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2003 |
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In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science 2652:287–296 |
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ISE @ ise @ GVR2003b |
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381 |
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Author |
Javier Varona; Jordi Gonzalez; Xavier Roca; Juan J. Villanueva |
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Title |
Appearance Tracking for Video Surveillance |
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2003 |
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In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science 2652:1041–1048 |
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ISE @ ise @ VGR2003b |
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425 |
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Author |
David Masip; Jordi Vitria |
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Title |
An Experimental Comparision of Dimensionality Reduction for Face Verification Methods |
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Miscellaneous |
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2003 |
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In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science 2652,:530–537 |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ MaV2003a |
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386 |
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Author |
Francesco Ciompi; Oriol Pujol; Simone Balocco; Xavier Carrillo; J. Mauri; Petia Radeva |
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Title |
Automatic Key Frames Detection in Intravascular Ultrasound Sequences |
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Conference Article |
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2011 |
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In MICCAI 2011 Workshop on Computing and Visualization for Intra Vascular Imaging |
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We present a method for the automatic detection of key frames in Intravascular Ultrasound (IVUS) sequences. The key frames are markers delimiting morphological changes along the vessel. The aim of defining key frames is two-fold: (1) they allow to summarize the content of the pullback into few representative frames; (2) they represent the basis for the automatic detection of clinical events in IVUS. The proposed approach achieved a compression ratio of 0.016 with respect to the original sequence and an average inter-frame distance of 61.76 frame, minimizing the number of missed clinical events. |
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CVII |
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MILAB;HuPBA |
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no |
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Admin @ si @ CPB2011 |
Serial |
1767 |
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Author |
Ferran Poveda; Debora Gil ;Albert Andaluz ;Enric Marti |
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Title |
Multiscale Tractography for Representing Heart Muscular Architecture |
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Conference Article |
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2011 |
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In MICCAI 2011 Workshop on Computational Diffusion MRI |
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Deep understanding of myocardial structure of the heart would unravel crucial knowledge for clinical and medical procedures. Although the muscular architecture of the heart has been debated by countless researchers, the controversy is still alive. Diffusion Tensor MRI, DT-MRI, is a unique imaging technique for computational validation of the muscular structure of the heart. By the complex arrangement of myocites, existing techniques can not provide comprehensive descriptions of the global muscular architecture. In this paper we introduce a multiresolution reconstruction technique based on DT-MRI streamlining for simplified global myocardial model generation. Our reconstructions can restore the most complex myocardial structures and indicate a global helical organization |
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English |
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english |
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CDRMI |
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IAM |
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no |
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IAM @ iam @ PGA2011 |
Serial |
1681 |
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Author |
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |
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Title |
Integration of Valley Orientation Distribution for Polyp Region Identification in Colonoscopy |
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Conference Article |
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Year |
2011 |
Publication |
In MICCAI 2011 Workshop on Computational and Clinical Applications in Abdominal Imaging |
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6668 |
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76-83 |
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This work presents a region descriptor based on the integration of the information that the depth of valleys image provides. The depth of valleys image is based on the presence of intensity valleys around polyps due to the image acquisition. Our proposed method consists of defining, for each point, a series of radial sectors around it and then accumulates the maxima of the depth of valleys image only if the orientation of the intensity valley coincides with the orientation of the sector above. We apply our descriptor to a prior segmentation of the images and we present promising results on polyp detection, outperforming other approaches that also integrate depth of valleys information. |
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Toronto, Canada |
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Springer Link |
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Lecture Notes in Computer Science |
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800 |
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ABI |
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MV;SIAI |
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no |
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Call Number |
IAM @ iam @ BSV2011d |
Serial |
1698 |
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Author |
Francesco Ciompi; A. Palaioroutas; M. Loeve; Oriol Pujol; Petia Radeva; H. Tiddens; M. de Bruijne |
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Title |
Lung Tissue Classification in Severe Advanced Cystic Fibrosis from CT Scans |
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Conference Article |
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2011 |
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In MICCAI 2011 4th International Workshop on Pulmonary Image Analysis |
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Toronto, Canada |
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PIA |
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MILAB;HuPBA |
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no |
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Admin @ si @ CPL2011 |
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1798 |
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Author |
G.D. Evangelidis; Ferran Diego; Joan Serrat; Antonio Lopez |
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Title |
Slice Matching for Accurate Spatio-Temporal Alignment |
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2011 |
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In ICCV Workshop on Visual Surveillance |
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video alignment |
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Video synchronization and alignment is a rather recent topic in computer vision. It usually deals with the problem of aligning sequences recorded simultaneously by static, jointly- or independently-moving cameras. In this paper, we investigate the more difficult problem of matching videos captured at different times from independently-moving cameras, whose trajectories are approximately coincident or parallel. To this end, we propose a novel method that pixel-wise aligns videos and allows thus to automatically highlight their differences. This primarily aims at visual surveillance but the method can be adopted as is by other related video applications, like object transfer (augmented reality) or high dynamic range video. We build upon a slice matching scheme to first synchronize the sequences, while we develop a spatio-temporal alignment scheme to spatially register corresponding frames and refine the temporal mapping. We investigate the performance of the proposed method on videos recorded from vehicles driven along different types of roads and compare with related previous works. |
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VS |
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ADAS |
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no |
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Admin @ si @ EDS2011; ADAS @ adas @ eds2011a |
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1861 |
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Author |
Antonio Hernandez; Carlos Primo; Sergio Escalera |
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Title |
Automatic user interaction correction via Multi-label Graph cuts |
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2011 |
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In ICCV 2011 1st IEEE International Workshop on Human Interaction in Computer Vision HICV |
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1276-1281 |
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Most applications in image segmentation requires from user interaction in order to achieve accurate results. However, user wants to achieve the desired segmentation accuracy reducing effort of manual labelling. In this work, we extend standard multi-label α-expansion Graph Cut algorithm so that it analyzes the interaction of the user in order to modify the object model and improve final segmentation of objects. The approach is inspired in the fact that fast user interactions may introduce some pixel errors confusing object and background. Our results with different degrees of user interaction and input errors show high performance of the proposed approach on a multi-label human limb segmentation problem compared with classical α-expansion algorithm. |
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978-1-4673-0062-9 |
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HICV |
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MILAB; HuPBA |
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no |
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Admin @ si @ HPE2011 |
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1892 |
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Author |
David Masip; Jordi Vitria |
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On the Nearest Neighbor Approach for Gender Recognition |
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2003 |
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In I. Aguilo, Ll. Valverde M.T. Escrig, editors. Artificial Intelligence Research and Development. IOS PRESS pp.178–188 |
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Amsterdam |
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OR;MV |
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BCNPCL @ bcnpcl @ MaV2003b |
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387 |
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M. Bressan; Jordi Vitria |
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Independent Modes of Variation in Point Distribution Models |
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2001 |
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In C. Arcelli, L.P. Cordella, G. Sanniti di Baja (Eds.): Visual Form 2001 4tth International Workshop on Visual Visual Form 2001 4tth International Workshop on Visual Form, IWVF4, Proceedings, LNCS 2059, Springer Verlag, 123 |
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Capri, Italia |
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BCNPCL @ bcnpcl @ BVi2001 |
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80 |
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Joan Serrat; Ferran Diego; Jose Manuel Alvarez; Felipe Lumbreras |
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Alignment of Videos Recorded from Moving Vehicles |
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2007 |
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in 14th International Conference on Image Analysis and Processing, |
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512–517 |
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Modena (Italia) |
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ADAS @ adas @ SDA2007 |
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879 |
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Fadi Dornaika; J. Ahlberg |
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Fitting 3D face models for tracking and active appearance model training |
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2006 |
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Image and Vision Computing, 24(9): 1010–1024 |
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Admin @ si @ DoA2006 |
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733 |
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