| Records |
| Author |
Josep Llados; J. Lopez-Krahe; Enric Marti |
Title  |
A Hough-based method for hatched pattern detection in maps and diagrams. |
Type |
Miscellaneous |
| Year |
1999 |
Publication |
Proceedings of the International Conference on Document Analysis and Recognition. |
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Bangalore-India |
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DAG |
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no |
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DAG @ dag @ LlM1999b |
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1 |
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| Author |
Josep Llados; Enric Marti; Jaime Lopez-Krahe |
| Title |
A Hough-based method for hatched pattern detection in maps and diagrams |
Type |
Conference Article |
| Year |
1999 |
Publication |
Proceeding of the Fifth Int. Conf. Document Analysis and Recognition ICDAR ’99 |
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Issue |
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Pages |
479-482 |
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| Abstract |
A hatched area is characterized by a set of parallel straight lines placed at regular intervals. In this paper, a Hough-based schema is introduced to recognize hatched areas in technical documents from attributed graph structures representing the document once it has been vectorized. Defining a Hough-based transform from a graph instead of the raster image allows to drastically reduce the processing time and, second, to obtain more reliable results because straight lines have already been detected in the vectorization step. A second advantage of the proposed method is that no assumptions must be made a priori about the slope and frequency of hatching patterns, but they are computed in run time for each hatched area. |
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DAG;IAM; |
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no |
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IAM @ iam @ LIM1999b |
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1580 |
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| Author |
Francesco Ciompi; Oriol Pujol; Carlo Gatta; Xavier Carrillo; J. Mauri; Petia Radeva |
| Title |
A Holistic Approach for the Detection of Media-Adventitia Border in IVUS |
Type |
Conference Article |
| Year |
2011 |
Publication |
14th International Conference on Medical Image Computing and Computer Assisted Intervention |
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| Volume |
6893 |
Issue |
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Pages |
401-408 |
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In this paper we present a methodology for the automatic detection of media-adventitia border (MAb) in Intravascular Ultrasound. A robust computation of the MAb is achieved through a holistic approach where the position of the MAb with respect to other tissues of the vessel is used. A learned quality measure assures that the resulting MAb is optimal with respect to all other tissues. The mean distance error computed through a set of 140 images is 0.2164 (±0.1326) mm. |
| Address |
Toronto, Canada |
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Springer Berlin Heidelberg |
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LNCS |
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0302-9743 |
ISBN |
978-3-642-23625-9 |
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MICCAI |
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MILAB;HuPBA |
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no |
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Admin @ si @ CPG2011 |
Serial |
1739 |
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| Author |
Agata Lapedriza; David Masip; Jordi Vitria |
| Title |
A Hierarchical Approach for Multi-task Logistic Regression |
Type |
Conference Article |
| Year |
2007 |
Publication |
3rd Iberian Conference on Pattern Recognition and Image Analysis |
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4478 |
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258–265 |
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Girona (Spain) |
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J. Marti et al. |
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IbPRIA |
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OR; MV |
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no |
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BCNPCL @ bcnpcl @ LMV2007a |
Serial |
902 |
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| Author |
Cristhian A. Aguilera-Carrasco; Luis Felipe Gonzalez-Böhme; Francisco Valdes; Francisco Javier Quitral Zapata; Bogdan Raducanu |
| Title |
A Hand-Drawn Language for Human–Robot Collaboration in Wood Stereotomy |
Type |
Journal Article |
| Year |
2023 |
Publication |
IEEE Access |
Abbreviated Journal |
ACCESS |
| Volume |
11 |
Issue |
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Pages |
100975 - 100985 |
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| Abstract |
This study introduces a novel, hand-drawn language designed to foster human-robot collaboration in wood stereotomy, central to carpentry and joinery professions. Based on skilled carpenters’ line and symbol etchings on timber, this language signifies the location, geometry of woodworking joints, and timber placement within a framework. A proof-of-concept prototype has been developed, integrating object detectors, keypoint regression, and traditional computer vision techniques to interpret this language and enable an extensive repertoire of actions. Empirical data attests to the language’s efficacy, with the successful identification of a specific set of symbols on various wood species’ sawn surfaces, achieving a mean average precision (mAP) exceeding 90%. Concurrently, the system can accurately pinpoint critical positions that facilitate robotic comprehension of carpenter-indicated woodworking joint geometry. The positioning error, approximately 3 pixels, meets industry standards. |
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LAMP |
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no |
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Admin @ si @ AGV2023 |
Serial |
3969 |
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| Author |
Josep Llados; Enric Marti |
| Title |
A graph-edit algorithm for hand-drawn graphical document recognition and their automatic introduction into CAD systems. |
Type |
Miscellaneous |
| Year |
1999 |
Publication |
Machine Graphics & Vision, 8(2):195–211. |
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DAG |
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no |
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DAG @ dag @ LlM1999a |
Serial |
187 |
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| Author |
Josep Llados; Enric Marti |
| Title |
A graph-edit algorithm for hand-drawn graphical document recognition and their automatic introduction into CAD systems |
Type |
Journal Article |
| Year |
1999 |
Publication |
Machine Graphics & Vision |
Abbreviated Journal |
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| Volume |
8 |
Issue |
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Pages |
195-211 |
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DAG;IAM; |
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no |
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IAM @ iam @ LIM1999 |
Serial |
1568 |
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| Author |
David Fernandez; Josep Llados; Alicia Fornes |
| Title |
A graph-based approach for segmenting touching lines in historical handwritten documents |
Type |
Journal Article |
| Year |
2014 |
Publication |
International Journal on Document Analysis and Recognition |
Abbreviated Journal |
IJDAR |
| Volume |
17 |
Issue |
3 |
Pages |
293-312 |
| Keywords |
Text line segmentation; Handwritten documents; Document image processing; Historical document analysis |
| Abstract |
Text line segmentation in handwritten documents is an important task in the recognition of historical documents. Handwritten document images contain text lines with multiple orientations, touching and overlapping characters between consecutive text lines and different document structures, making line segmentation a difficult task. In this paper, we present a new approach for handwritten text line segmentation solving the problems of touching components, curvilinear text lines and horizontally overlapping components. The proposed algorithm formulates line segmentation as finding the central path in the area between two consecutive lines. This is solved as a graph traversal problem. A graph is constructed using the skeleton of the image. Then, a path-finding algorithm is used to find the optimum path between text lines. The proposed algorithm has been evaluated on a comprehensive dataset consisting of five databases: ICDAR2009, ICDAR2013, UMD, the George Washington and the Barcelona Marriages Database. The proposed method outperforms the state-of-the-art considering the different types and difficulties of the benchmarking data. |
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Springer Berlin Heidelberg |
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Edition |
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1433-2833 |
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| Notes |
DAG; 600.056; 600.061; 602.006; 600.077 |
Approved |
no |
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Admin @ si @ FLF2014 |
Serial |
2459 |
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| Author |
Gemma Sanchez; Josep Llados |
| Title |
A Graph Grammar to Recognize Textured Symbols. |
Type |
Miscellaneous |
| Year |
2001 |
Publication |
Sixth International Conference on Document Analysis and Recognition, ICDAR 2001, 465–469. |
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USA |
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DAG |
Approved |
no |
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DAG @ dag @ SLl2001 |
Serial |
162 |
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| Author |
David Geronimo |
| Title |
A Global Approach to Vision-Based Pedestrian Detection for Advanced Driver Assistance Systems |
Type |
Book Whole |
| Year |
2010 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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At the beginning of the 21th century, traffic accidents have become a major problem not only for developed countries but also for emerging ones. As in other scientific areas in which Artificial Intelligence is becoming a key actor, advanced driver assistance systems, and concretely pedestrian protection systems based on Computer Vision, are becoming a strong topic of research aimed at improving the safety of pedestrians. However, the challenge is of considerable complexity due to the varying appearance of humans (e.g., clothes, size, aspect ratio, shape, etc.), the dynamic nature of on-board systems and the unstructured moving environments that urban scenarios represent. In addition, the required performance is demanding both in terms of computational time and detection rates. In this thesis, instead of focusing on improving specific tasks as it is frequent in the literature, we present a global approach to the problem. Such a global overview starts by the proposal of a generic architecture to be used as a framework both to review the literature and to organize the studied techniques along the thesis. We then focus the research on tasks such as foreground segmentation, object classification and refinement following a general viewpoint and exploring aspects that are not usually analyzed. In order to perform the experiments, we also present a novel pedestrian dataset that consists of three subsets, each one addressed to the evaluation of a different specific task in the system. The results presented in this thesis not only end with a proposal of a pedestrian detection system but also go one step beyond by pointing out new insights, formalizing existing and proposed algorithms, introducing new techniques and evaluating their performance, which we hope will provide new foundations for future research in the area. |
| Address |
Antonio Lopez;Krystian Mikolajczyk;Jaume Amores;Dariu M. Gavrila;Oriol Pujol;Felipe Lumbreras |
| Corporate Author |
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Thesis |
Ph.D. thesis |
| Publisher |
Ediciones Graficas Rey |
Place of Publication |
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Editor |
Antonio Lopez;Krystian Mikolajczyk;Jaume Amores;Dariu M. Gavrila;Oriol Pujol;Felipe Lumbreras |
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ISBN |
978-84-936529-5-1 |
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ADAS |
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no |
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ADAS @ adas @ Ger2010 |
Serial |
1279 |
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| Author |
Miguel Angel Bautista; Antonio Hernandez; Sergio Escalera; Laura Igual; Oriol Pujol; Josep Moya; Veronica Violant; Maria Teresa Anguera |
| Title |
A Gesture Recognition System for Detecting Behavioral Patterns of ADHD |
Type |
Journal Article |
| Year |
2016 |
Publication |
IEEE Transactions on System, Man and Cybernetics, Part B |
Abbreviated Journal |
TSMCB |
| Volume |
46 |
Issue |
1 |
Pages |
136-147 |
| Keywords |
Gesture Recognition; ADHD; Gaussian Mixture Models; Convex Hulls; Dynamic Time Warping; Multi-modal RGB-Depth data |
| Abstract |
We present an application of gesture recognition using an extension of Dynamic Time Warping (DTW) to recognize behavioural patterns of Attention Deficit Hyperactivity Disorder (ADHD). We propose an extension of DTW using one-class classifiers in order to be able to encode the variability of a gesture category, and thus, perform an alignment between a gesture sample and a gesture class. We model the set of gesture samples of a certain gesture category using either GMMs or an approximation of Convex Hulls. Thus, we add a theoretical contribution to classical warping path in DTW by including local modeling of intra-class gesture variability. This methodology is applied in a clinical context, detecting a group of ADHD behavioural patterns defined by experts in psychology/psychiatry, to provide support to clinicians in the diagnose procedure. The proposed methodology is tested on a novel multi-modal dataset (RGB plus Depth) of ADHD children recordings with behavioural patterns. We obtain satisfying results when compared to standard state-of-the-art approaches in the DTW context. |
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HuPBA; MILAB; |
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no |
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Admin @ si @ BHE2016 |
Serial |
2566 |
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| Author |
Mohammad Ali Bagheri; Qigang Gao; Sergio Escalera |
| Title |
A Genetic-based Subspace Analysis Method for Improving Error-Correcting Output Coding |
Type |
Journal Article |
| Year |
2013 |
Publication |
Pattern Recognition |
Abbreviated Journal |
PR |
| Volume |
46 |
Issue |
10 |
Pages |
2830-2839 |
| Keywords |
Error Correcting Output Codes; Evolutionary computation; Multiclass classification; Feature subspace; Ensemble classification |
| Abstract |
Two key factors affecting the performance of Error Correcting Output Codes (ECOC) in multiclass classification problems are the independence of binary classifiers and the problem-dependent coding design. In this paper, we propose an evolutionary algorithm-based approach to the design of an application-dependent codematrix in the ECOC framework. The central idea of this work is to design a three-dimensional codematrix, where the third dimension is the feature space of the problem domain. In order to do that, we consider the feature space in the design process of the codematrix with the aim of improving the independence and accuracy of binary classifiers. The proposed method takes advantage of some basic concepts of ensemble classification, such as diversity of classifiers, and also benefits from the evolutionary approach for optimizing the three-dimensional codematrix, taking into account the problem domain. We provide a set of experimental results using a set of benchmark datasets from the UCI Machine Learning Repository, as well as two real multiclass Computer Vision problems. Both sets of experiments are conducted using two different base learners: Neural Networks and Decision Trees. The results show that the proposed method increases the classification accuracy in comparison with the state-of-the-art ECOC coding techniques. |
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Elsevier |
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0031-3203 |
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HuPBA;MILAB |
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no |
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Admin @ si @ BGE2013a |
Serial |
2247 |
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| Author |
Adria Molina; Lluis Gomez; Oriol Ramos Terrades; Josep Llados |
| Title |
A Generic Image Retrieval Method for Date Estimation of Historical Document Collections |
Type |
Conference Article |
| Year |
2022 |
Publication |
Document Analysis Systems.15th IAPR International Workshop, (DAS2022) |
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| Volume |
13237 |
Issue |
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Pages |
583–597 |
| Keywords |
Date estimation; Document retrieval; Image retrieval; Ranking loss; Smooth-nDCG |
| Abstract |
Date estimation of historical document images is a challenging problem, with several contributions in the literature that lack of the ability to generalize from one dataset to others. This paper presents a robust date estimation system based in a retrieval approach that generalizes well in front of heterogeneous collections. We use a ranking loss function named smooth-nDCG to train a Convolutional Neural Network that learns an ordination of documents for each problem. One of the main usages of the presented approach is as a tool for historical contextual retrieval. It means that scholars could perform comparative analysis of historical images from big datasets in terms of the period where they were produced. We provide experimental evaluation on different types of documents from real datasets of manuscript and newspaper images. |
| Address |
La Rochelle, France; May 22–25, 2022 |
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DAS |
| Notes |
DAG; 600.140; 600.121 |
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no |
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Admin @ si @ MGR2022 |
Serial |
3694 |
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| Author |
Miquel Ferrer; Dimosthenis Karatzas; Ernest Valveny; I. Bardaji; Horst Bunke |
| Title |
A Generic Framework for Median Graph Computation based on a Recursive Embedding Approach |
Type |
Journal Article |
| Year |
2011 |
Publication |
Computer Vision and Image Understanding |
Abbreviated Journal |
CVIU |
| Volume |
115 |
Issue |
7 |
Pages |
919-928 |
| Keywords |
Median Graph, Graph Embedding, Graph Matching, Structural Pattern Recognition |
| Abstract |
The median graph has been shown to be a good choice to obtain a represen- tative of a set of graphs. However, its computation is a complex problem. Recently, graph embedding into vector spaces has been proposed to obtain approximations of the median graph. The problem with such an approach is how to go from a point in the vector space back to a graph in the graph space. The main contribution of this paper is the generalization of this previ- ous method, proposing a generic recursive procedure that permits to recover the graph corresponding to a point in the vector space, introducing only the amount of approximation inherent to the use of graph matching algorithms. In order to evaluate the proposed method, we compare it with the set me- dian and with the other state-of-the-art embedding-based methods for the median graph computation. The experiments are carried out using four dif- ferent databases (one semi-artificial and three containing real-world data). Results show that with the proposed approach we can obtain better medi- ans, in terms of the sum of distances to the training graphs, than with the previous existing methods. |
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DAG |
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no |
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IAM @ iam @ FKV2011 |
Serial |
1831 |
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| Author |
Josep Llados; Dimosthenis Karatzas; Joan Mas; Gemma Sanchez |
| Title |
A Generic Architecture for the Conversion of Document Collections into Semantically Annotated Digital Archives |
Type |
Journal |
| Year |
2008 |
Publication |
Journal of Universal Computer Science |
Abbreviated Journal |
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| Volume |
14 |
Issue |
18 |
Pages |
2912–2935 |
| Keywords |
Median Graph, Graph Embedding, Graph Matching, Structural Pattern Recognition |
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DAG |
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no |
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DAG @ dag @ LKM2008 |
Serial |
1142 |
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