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Author | Jorge Bernal; Fernando Vilariño; F. Javier Sanchez | ||||
Title | Feature Detectors and Feature Descriptors: Where We Are Now | Type | Report | ||
Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 154 | Issue | Pages | ||
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Abstract | Feature Detection and Feature Description are clearly nowadays topics. Many Computer Vision applications rely on the use of several of these techniques in order to extract the most significant aspects of an image so they can help in some tasks such as image retrieval, image registration, object recognition, object categorization and texture classification, among others. In this paper we define what Feature Detection and Description are and then we present an extensive collection of several methods in order to show the different techniques that are being used right now. The aim of this report is to provide a glimpse of what is being used currently in these fields and to serve as a starting point for future endeavours. | ||||
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Notes | MV;SIAI | Approved | no | ||
Call Number | Admin @ si @ BVS2010; IAM @ iam @ BVS2010 | Serial | 1348 | ||
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Author | Lluis Pere de las Heras | ||||
Title | Syntactic Model for Semantic Document Analysis | Type | Report | ||
Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 158 | Issue | Pages | ||
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Notes | Approved | no | |||
Call Number | Admin @ si @ Per2010 | Serial | 1350 | ||
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Author | Anjan Dutta | ||||
Title | Symbol Spotting in Graphical Documents by Serialized Subgraph Matching | Type | Report | ||
Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 159 | Issue | Pages | ||
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Corporate Author | Thesis | Master's thesis | |||
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Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ Dut2010 | Serial | 1351 | ||
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Author | Ekain Artola | ||||
Title | Human Attention Map Prediction Combining Visual Features | Type | Report | ||
Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 160 | Issue | Pages | ||
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Corporate Author | Thesis | Bachelor's thesis | |||
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Notes | Approved | no | |||
Call Number | Admin @ si @ Art2010 | Serial | 1352 | ||
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Author | David Fernandez | ||||
Title | Handwritten Word Spotting in Old Manuscript Images using Shape Descriptors | Type | Report | ||
Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 161 | Issue | Pages | ||
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Corporate Author | Thesis | Master's thesis | |||
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Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ Fer2010b | Serial | 1353 | ||
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Author | Jon Almazan | ||||
Title | Deforming the Blurred Shape Model for Shape Description and Recognition | Type | Report | ||
Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 163 | Issue | Pages | ||
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Corporate Author | Thesis | Master's thesis | |||
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Notes | Approved | no | |||
Call Number | Admin @ si @ Alm2010 | Serial | 1354 | ||
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Author | Nataliya Shapovalova | ||||
Title | On Importance of Interaction and Context | Type | Report | ||
Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 155 | Issue | Pages | ||
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Corporate Author | Thesis | Master's thesis | |||
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Notes | ISE | Approved | no | ||
Call Number | Admin @ si @ Sha2010 | Serial | 1355 | ||
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Author | Zhanwu Xiong | ||||
Title | A Pompd Model for Active Camera Control | Type | Report | ||
Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 156 | Issue | Pages | ||
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Corporate Author | Thesis | Master's thesis | |||
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Notes | ISE | Approved | no | ||
Call Number | Admin @ si @ Xio2010 | Serial | 1356 | ||
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Author | Olivier Penacchio; C. Alejandro Parraga; Maria Vanrell | ||||
Title | Natural Scene Statistics account for Human Cones Ratios | Type | Journal Article | ||
Year | 2010 | Publication | Perception. ECVP Abstract Supplement | Abbreviated Journal | PER |
Volume | 39 | Issue | Pages | 101 | |
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Abstract | In two previous experiments [Parraga et al, 2009 J. of Im. Sci. and Tech 53(3) 031106; Benavente et al,2009 Perception 38 ECVP Supplement, 36] the boundaries of basic colour categories were measured.
In the first experiment, samples were presented in isolation (ie on a dark background) and boundaries were measured using a yes/no paradigm. In the second, subjects adjusted the chromaticity of a sample presented on a random Mondrian background to find the boundary between pairs of adjacent colours. Results from these experiments showed significant dierences but it was not possible to conclude whether this discrepancy was due to the absence/presence of a colourful background or to the dierences in the paradigms used. In this work, we settle this question by repeating the first experiment (ie samples presented on a dark background) using the second paradigm. A comparison of results shows that although boundary locations are very similar, boundaries measured in context are significantly dierent(more diuse) than those measured in isolation (confirmed by a Student’s t-test analysis on the subject’s answers statistical distributions). In addition, we completed the mapping of colour name space by measuring the boundaries between chromatic colours and the achromatic centre. With these results we completed our parametric fuzzy-sets model of colour naming space. |
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Notes | CIC | Approved | no | ||
Call Number | CAT @ cat @ PPV2010 | Serial | 1357 | ||
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Author | Miguel Angel Bautista; Xavier Baro; Oriol Pujol; Petia Radeva; Jordi Vitria; Sergio Escalera | ||||
Title | Compact Evolutive Design of Error-Correcting Output Codes | Type | Conference Article | ||
Year | 2010 | Publication | Supervised and Unsupervised Ensemble Methods and their Applications in the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases | Abbreviated Journal | |
Volume | Issue | Pages | 119-128 | ||
Keywords | Ensemble of Dichotomizers; Error-Correcting Output Codes; Evolutionary optimization | ||||
Abstract | The classication of large number of object categories is a challenging trend in the Machine Learning eld. In literature, this is often addressed using an ensemble of classiers. In this scope, the Error-Correcting Output Codes framework has demonstrated to be a powerful tool for the combination of classiers. However, most of the state-of-the-art ECOC approaches use a linear or exponential number of classiers, making the discrimination of a large number of classes unfeasible. In this paper, we explore and propose a minimal design of ECOC in terms of the number of classiers. Evolutionary computation is used for tuning the parameters of the classiers and looking for the best Minimal ECOC code conguration. The results over several public UCI data sets and a challenging multi-class Computer Vision problem show that the proposed methodology obtains comparable and even better results than state-of-the-art ECOC methodologies with far less number of dichotomizers. | ||||
Address | Barcelona (Spain) | ||||
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Area | Expedition | Conference | SUEMA | ||
Notes | OR;MILAB;HUPBA;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ BBP2010 | Serial | 1363 | ||
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Author | Neus Salvatella; E Fernandez-Nofrerias; Francesco Ciompi; Oriol Rodriguez-Leor; H. Tizon; Xavier Carrillo; J. Mauri; Petia Radeva | ||||
Title | Radial Artery Volume Changes After Administration Of Two Different Intra-arterial Drug Regimens. Assessment by Intravascular Ultrasound | Type | Journal Article | ||
Year | 2010 | Publication | Journal of the American College of Cardiology | Abbreviated Journal | JACC |
Volume | 56 | Issue | 13s1 | Pages | B119 |
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Notes | MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ SFC2010b | Serial | 1364 | ||
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Author | Neus Salvatella; E Fernandez-Nofrerias; Francesco Ciompi; Oriol Rodriguez-Leor; Xavier Carrillo; R. Hemetsberger; Petia Radeva; J. Mauri; A. Bayes | ||||
Title | Canvis de volum a la arteria radial despres de la administracio de dos tractaments vasodilatadors. Avaluacio mitjançant ecografia intravascular | Type | Conference Article | ||
Year | 2010 | Publication | 22nd Congres Societat Catalana de Cardiologia, | Abbreviated Journal | |
Volume | Issue | Pages | 179 | ||
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Address | Barcelona (Spain) | ||||
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Notes | MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ SFC2010a | Serial | 1367 | ||
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Author | Oriol Rodriguez-Leor; R. Hemetsberger; Francesco Ciompi; E Fernandez-Nofrerias; Angel Serrano; M. Bernet; Petia Radeva; J. Mauri; A. Bayes | ||||
Title | Caracteritzacio automatica de la placa mitjançant analisis del espectre de radiofreqüencia en estudi de ecografia intracoronaria: resultat de la fusio de dades invivo i exvivo | Type | Conference Article | ||
Year | 2010 | Publication | 22nd Congres Societat Catalana de Cardiologia, | Abbreviated Journal | |
Volume | Issue | Pages | 131 | ||
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Address | Barcelona (Spain) | ||||
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Notes | MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ RHC2010 | Serial | 1368 | ||
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Author | R. de Nijs; Sebastian Ramos; Gemma Roig; Xavier Boix; Luc Van Gool; K. Kühnlenz. | ||||
Title | On-line Semantic Perception Using Uncertainty | Type | Conference Article | ||
Year | 2012 | Publication | International Conference on Intelligent Robots and Systems | Abbreviated Journal | IROS |
Volume | Issue | Pages | 4185-4191 | ||
Keywords | Semantic Segmentation | ||||
Abstract | Visual perception capabilities are still highly unreliable in unconstrained settings, and solutions might not beaccurate in all regions of an image. Awareness of the uncertainty of perception is a fundamental requirement for proper high level decision making in a robotic system. Yet, the uncertainty measure is often sacrificed to account for dependencies between object/region classifiers. This is the case of Conditional Random Fields (CRFs), the success of which stems from their ability to infer the most likely world configuration, but they do not directly allow to estimate the uncertainty of the solution. In this paper, we consider the setting of assigning semantic labels to the pixels of an image sequence. Instead of using a CRF, we employ a Perturb-and-MAP Random Field, a recently introduced probabilistic model that allows performing fast approximate sampling from its probability density function. This allows to effectively compute the uncertainty of the solution, indicating the reliability of the most likely labeling in each region of the image. We report results on the CamVid dataset, a standard benchmark for semantic labeling of urban image sequences. In our experiments, we show the benefits of exploiting the uncertainty by putting more computational effort on the regions of the image that are less reliable, and use more efficient techniques for other regions, showing little decrease of performance | ||||
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Area | Expedition | Conference | IROS | ||
Notes | ADAS | Approved | no | ||
Call Number | ADAS @ adas @ NRR2012 | Serial | 2378 | ||
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Author | Daniel Ponsa; Joan Serrat; Antonio Lopez | ||||
Title | On-board image-based vehicle detection and tracking | Type | Journal Article | ||
Year | 2011 | Publication | Transactions of the Institute of Measurement and Control | Abbreviated Journal | TIM |
Volume | 33 | Issue | 7 | Pages | 783-805 |
Keywords | vehicle detection | ||||
Abstract | In this paper we present a computer vision system for daytime vehicle detection and localization, an essential step in the development of several types of advanced driver assistance systems. It has a reduced processing time and high accuracy thanks to the combination of vehicle detection with lane-markings estimation and temporal tracking of both vehicles and lane markings. Concerning vehicle detection, our main contribution is a frame scanning process that inspects images according to the geometry of image formation, and with an Adaboost-based detector that is robust to the variability in the different vehicle types (car, van, truck) and lighting conditions. In addition, we propose a new method to estimate the most likely three-dimensional locations of vehicles on the road ahead. With regards to the lane-markings estimation component, we have two main contributions. First, we employ a different image feature to the other commonly used edges: we use ridges, which are better suited to this problem. Second, we adapt RANSAC, a generic robust estimation method, to fit a parametric model of a pair of lane markings to the image features. We qualitatively assess our vehicle detection system in sequences captured on several road types and under very different lighting conditions. The processed videos are available on a web page associated with this paper. A quantitative evaluation of the system has shown quite accurate results (a low number of false positives and negatives) at a reasonable computation time. | ||||
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Notes | ADAS | Approved | no | ||
Call Number | ADAS @ adas @ PSL2011 | Serial | 1413 | ||
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