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Author Angel Sappa
Title Splitting up Panoramic Range Images into Compact 2½D Representations Type Journal
Year 2006 Publication International Journal of Imaging Systems and Technology, 16(3): 85–91 Abbreviated Journal
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Notes ADAS Approved no
Call Number ADAS @ adas @ Sap2006b Serial 721
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Author Angel Sappa; Boris X. Vintimilla
Title Edge Point Linking by Means of Global and Local Schemes Type Conference Article
Year 2006 Publication IEEE Int. Conf. on Signal-Image Technology and Internet-Based Systems, Hammamet, Tunisia, December 2006, pp. 551-560. Abbreviated Journal
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Address Hammamet (Tunisia)
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Notes ADAS Approved no
Call Number ADAS @ adas @ SaV2006 Serial 722
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Author Jordi Vitria; M. Bressan; Petia Radeva
Title Bayesian classification of cork stoppers using class-conditional independent component analysis Type Journal
Year 2006 Publication IEEE Transactions on Systems, Man and Cybernetics (Part C), 36(6) Abbreviated Journal
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Notes OR;MILAB;MV Approved no
Call Number BCNPCL @ bcnpcl @ VBR2006 Serial 723
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Author Karla Lizbeth Caballero; Joel Barajas; Oriol Pujol; Neus Salvatella; Petia Radeva
Title In-Vivo IVUS Tissue Classification: A Comparison Between RF Signal Analysis and Reconstructed Images Type Book Chapter
Year 2006 Publication 11th Iberoamerican Congress on Pattern Recognition (CIARP´06), LNCS 4225: 137–146 Abbreviated Journal
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Address Cancun (Mexico)
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Notes MILAB;HuPBA Approved no
Call Number BCNPCL @ bcnpcl @ CBP2006c Serial 724
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Author Francisco Javier Orozco; Pau Baiget; Jordi Gonzalez; Xavier Roca
Title Eyelids and Face Tracking in Real-Time Type Miscellaneous
Year 2006 Publication 6th IASTED International Conference Visualization, Imaging, and Image Processing (VIIP´06), 165–170 Abbreviated Journal
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Address Palma de Mallorca (Spain)
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Notes ISE Approved no
Call Number ISE @ ise @ OBG2006 Serial 730
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Author Salim Jouili; Salvatore Tabbone; Ernest Valveny
Title Comparing Graph Similarity Measures for Graphical Recognition Type Book Chapter
Year 2010 Publication Graphics Recognition. Achievements, Challenges, and Evolution. 8th International Workshop, GREC 2009. Selected Papers Abbreviated Journal
Volume 6020 Issue Pages 37-48
Keywords
Abstract In this paper we evaluate four graph distance measures. The analysis is performed for document retrieval tasks. For this aim, different kind of documents are used including line drawings (symbols), ancient documents (ornamental letters), shapes and trademark-logos. The experimental results show that the performance of each graph distance measure depends on the kind of data and the graph representation technique.
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Publisher Springer Berlin Heidelberg Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title LNCS
Series Volume Series Issue Edition
ISSN 0302-9743 ISBN 978-3-642-13727-3 Medium
Area (down) Expedition Conference GREC
Notes DAG Approved no
Call Number Admin @ si @ JTV2010 Serial 2404
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Author Fadi Dornaika; Franck Davoine
Title On appearance based face and facial action tracking Type Journal
Year 2006 Publication IEEE Transactions on Circuits and Systems for Video Technology, 16(9): 1838–1853 Abbreviated Journal
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Notes Approved no
Call Number Admin @ si @ DoD2006b Serial 732
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Author Fadi Dornaika; J. Ahlberg
Title Fitting 3D face models for tracking and active appearance model training Type Journal
Year 2006 Publication Image and Vision Computing, 24(9): 1010–1024 Abbreviated Journal
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Notes Approved no
Call Number Admin @ si @ DoA2006 Serial 733
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Author Fadi Dornaika; Franck Davoine
Title Facial expression recognition using auto-regressive models Type Miscellaneous
Year 2006 Publication 18th International Conference on Pattern Recognition (ICPR´06), ISBN: 0–7695–2521–0, 4: 520–523 Abbreviated Journal
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Address Hong Kong
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Notes Approved no
Call Number Admin @ si @ DoD2006a Serial 734
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Author R. Herault; Franck Davoine; Fadi Dornaika; Y. Grandvalet
Title Simultaneous and robust face and facial action tracking Type Miscellaneous
Year 2006 Publication 15eme Congres Francophone AFRIF–AFIA de Reconnaissance des Formes et Intelligence Artificielle (RFIA´06) Abbreviated Journal
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Address Tours (France)
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Notes Approved no
Call Number Admin @ si @ HDD2006 Serial 735
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Author David Aldavert
Title Visual Simultaneous Localization and Mapping Type Report
Year 2006 Publication CVC Technical Report #98 Abbreviated Journal
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Address CVC (UAB)
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Notes ADAS Approved no
Call Number Admin @ si @ Ald2006 Serial 736
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Author David Geronimo
Title Model Features and Horizon Line Estimation for Pedestrian Detection in Advanced Driver Assistance Systems Type Report
Year 2006 Publication CVC Technical Report #98 Abbreviated Journal
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Address CVC (UAB)
Corporate Author Thesis Master's thesis
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Notes ADAS Approved no
Call Number ADAS @ adas @ Ger2006 Serial 737
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Author German Ros; J. Guerrero; Angel Sappa; Daniel Ponsa; Antonio Lopez
Title Fast and Robust l1-averaging-based Pose Estimation for Driving Scenarios Type Conference Article
Year 2013 Publication 24th British Machine Vision Conference Abbreviated Journal
Volume Issue Pages
Keywords SLAM
Abstract Robust visual pose estimation is at the core of many computer vision applications, being fundamental for Visual SLAM and Visual Odometry problems. During the last decades, many approaches have been proposed to solve these problems, being RANSAC one of the most accepted and used. However, with the arrival of new challenges, such as large driving scenarios for autonomous vehicles, along with the improvements in the data gathering frameworks, new issues must be considered. One of these issues is the capability of a technique to deal with very large amounts of data while meeting the realtime
constraint. With this purpose in mind, we present a novel technique for the problem of robust camera-pose estimation that is more suitable for dealing with large amount of data, which additionally, helps improving the results. The method is based on a combination of a very fast coarse-evaluation function and a robust ℓ1-averaging procedure. Such scheme leads to high-quality results while taking considerably less time than RANSAC.
Experimental results on the challenging KITTI Vision Benchmark Suite are provided, showing the validity of the proposed approach.
Address Bristol; UK; September 2013
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Area (down) Expedition Conference BMVC
Notes ADAS Approved no
Call Number Admin @ si @ RGS2013b; ADAS @ adas @ Serial 2274
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Author Jaume Amores
Title MILDE: multiple instance learning by discriminative embedding Type Journal Article
Year 2015 Publication Knowledge and Information Systems Abbreviated Journal KAIS
Volume 42 Issue 2 Pages 381-407
Keywords Multi-instance learning; Codebook; Bag of words
Abstract While the objective of the standard supervised learning problem is to classify feature vectors, in the multiple instance learning problem, the objective is to classify bags, where each bag contains multiple feature vectors. This represents a generalization of the standard problem, and this generalization becomes necessary in many real applications such as drug activity prediction, content-based image retrieval, and others. While the existing paradigms are based on learning the discriminant information either at the instance level or at the bag level, we propose to incorporate both levels of information. This is done by defining a discriminative embedding of the original space based on the responses of cluster-adapted instance classifiers. Results clearly show the advantage of the proposed method over the state of the art, where we tested the performance through a variety of well-known databases that come from real problems, and we also included an analysis of the performance using synthetically generated data.
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Publisher Springer London Place of Publication Editor
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ISSN 0219-1377 ISBN Medium
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Notes ADAS; 601.042; 600.057; 600.076 Approved no
Call Number Admin @ si @ Amo2015 Serial 2383
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Author Albert Gordo; Florent Perronnin; Yunchao Gong; Svetlana Lazebnik
Title Asymmetric Distances for Binary Embeddings Type Journal Article
Year 2014 Publication IEEE Transactions on Pattern Analysis and Machine Intelligence Abbreviated Journal TPAMI
Volume 36 Issue 1 Pages 33-47
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Abstract In large-scale query-by-example retrieval, embedding image signatures in a binary space offers two benefits: data compression and search efficiency. While most embedding algorithms binarize both query and database signatures, it has been noted that this is not strictly a requirement. Indeed, asymmetric schemes which binarize the database signatures but not the query still enjoy the same two benefits but may provide superior accuracy. In this work, we propose two general asymmetric distances which are applicable to a wide variety of embedding techniques including Locality Sensitive Hashing (LSH), Locality Sensitive Binary Codes (LSBC), Spectral Hashing (SH), PCA Embedding (PCAE), PCA Embedding with random rotations (PCAE-RR), and PCA Embedding with iterative quantization (PCAE-ITQ). We experiment on four public benchmarks containing up to 1M images and show that the proposed asymmetric distances consistently lead to large improvements over the symmetric Hamming distance for all binary embedding techniques.
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ISSN 0162-8828 ISBN Medium
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Notes DAG; 600.045; 605.203; 600.077 Approved no
Call Number Admin @ si @ GPG2014 Serial 2272
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