Records |
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Text line segmentation; Handwritten documents; Document image processing; Historical document analysis |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Text line segmentation in handwritten documents is an important task in the recognition of historical documents.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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1433-2833 |
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DAG; 600.056; 600.061; 602.006; 600.077 |
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no |
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Admin @ si @ FLF2014 |
Serial |
2459 |
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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 |
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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 |
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 |
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 |
Keywords |
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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 |
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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Volume |
4478 |
Issue |
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Pages |
258–265 |
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Address |
Girona (Spain) |
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Editor |
J. Marti et al. |
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IbPRIA |
Notes |
OR; MV |
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no |
Call Number |
BCNPCL @ bcnpcl @ LMV2007a |
Serial |
902 |
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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 |
Abbreviated Journal |
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Volume |
6893 |
Issue |
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Pages |
401-408 |
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Abstract |
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. |
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Toronto, Canada |
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Springer Berlin Heidelberg |
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LNCS |
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ISSN |
0302-9743 |
ISBN |
978-3-642-23625-9 |
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Conference |
MICCAI |
Notes |
MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ CPG2011 |
Serial |
1739 |
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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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Volume |
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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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Notes |
DAG;IAM; |
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no |
Call Number |
IAM @ iam @ LIM1999b |
Serial |
1580 |
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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 |
Serial |
1 |
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Author |
Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
Title |
A Human Action Comparison Framework for Motion Understanding |
Type |
Miscellaneous |
Year |
2003 |
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Palma de Mallorca, Spain |
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ISE |
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no |
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ISE @ ise @ GVR2003e |
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361 |
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Author |
Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
Title |
A Human Action Comparison Framework for Motion Understanding |
Type |
Miscellaneous |
Year |
2003 |
Publication |
Frontiers in Artificial Intelligence and Applications 100, 331–340 |
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ISE |
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no |
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ISE @ ise @ GVR2003c |
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389 |
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Author |
Albert Gordo; Jaume Gibert; Ernest Valveny; Marçal Rusiñol |
Title |
A Kernel-based Approach to Document Retrieval |
Type |
Conference Article |
Year |
2010 |
Publication |
9th IAPR International Workshop on Document Analysis Systems |
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Volume |
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Issue |
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Pages |
377–384 |
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Abstract |
In this paper we tackle the problem of document image retrieval by combining a similarity measure between documents and the probability that a given document belongs to a certain class. The membership probability to a specific class is computed using Support Vector Machines in conjunction with similarity measure based kernel applied to structural document representations. In the presented experiments, we use different document representations, both visual and structural, and we apply them to a database of historical documents. We show how our method based on similarity kernels outperforms the usual distance-based retrieval. |
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Boston; USA; |
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978-1-60558-773-8 |
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DAS |
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DAG |
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no |
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DAG @ dag @ GGV2010 |
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1431 |
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Author |
Alicia Fornes; Volkmar Frinken; Andreas Fischer; Jon Almazan; G. Jackson; Horst Bunke |
Title |
A Keyword Spotting Approach Using Blurred Shape Model-Based Descriptors |
Type |
Conference Article |
Year |
2011 |
Publication |
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing |
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83-90 |
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The automatic processing of handwritten historical documents is considered a hard problem in pattern recognition. In addition to the challenges given by modern handwritten data, a lack of training data as well as effects caused by the degradation of documents can be observed. In this scenario, keyword spotting arises to be a viable solution to make documents amenable for searching and browsing. For this task we propose the adaptation of shape descriptors used in symbol recognition. By treating each word image as a shape, it can be represented using the Blurred Shape Model and the De-formable Blurred Shape Model. Experiments on the George Washington database demonstrate that this approach is able to outperform the commonly used Dynamic Time Warping approach. |
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ACM |
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978-1-4503-0916-5 |
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HIP |
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DAG |
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no |
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Admin @ si @ FFF2011a |
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1823 |
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Author |
Fernando Vilariño; Dimosthenis Karatzas |
Title |
A Living Lab approach for Citizen Science in Libraries |
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Conference Article |
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2016 |
Publication |
1st International ECSA Conference |
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Berlin; Germany; May 2016 |
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ECSA |
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MV; DAG; 600.084; 600.097;SIAI |
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no |
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Admin @ si @ViK2016 |
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2804 |
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Author |
Michael Holte; Bhaskar Chakraborty; Jordi Gonzalez; Thomas B. Moeslund |
Title |
A Local 3D Motion Descriptor for Multi-View Human Action Recognition from 4D Spatio-Temporal Interest Points |
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Journal Article |
Year |
2012 |
Publication |
IEEE Journal of Selected Topics in Signal Processing |
Abbreviated Journal |
J-STSP |
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6 |
Issue |
5 |
Pages |
553-565 |
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Abstract |
In this paper, we address the problem of human action recognition in reconstructed 3-D data acquired by multi-camera systems. We contribute to this field by introducing a novel 3-D action recognition approach based on detection of 4-D (3-D space $+$ time) spatio-temporal interest points (STIPs) and local description of 3-D motion features. STIPs are detected in multi-view images and extended to 4-D using 3-D reconstructions of the actors and pixel-to-vertex correspondences of the multi-camera setup. Local 3-D motion descriptors, histogram of optical 3-D flow (HOF3D), are extracted from estimated 3-D optical flow in the neighborhood of each 4-D STIP and made view-invariant. The local HOF3D descriptors are divided using 3-D spatial pyramids to capture and improve the discrimination between arm- and leg-based actions. Based on these pyramids of HOF3D descriptors we build a bag-of-words (BoW) vocabulary of human actions, which is compressed and classified using agglomerative information bottleneck (AIB) and support vector machines (SVMs), respectively. Experiments on the publicly available i3DPost and IXMAS datasets show promising state-of-the-art results and validate the performance and view-invariance of the approach. |
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1932-4553 |
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ISE |
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Admin @ si @ HCG2012 |
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1994 |
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Author |
Anonymous |
Title |
A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors |
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Journal |
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2006 |
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IEEE Transactions on Geoscience and Remote Sensing, 44(6): 1683–1691 |
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CAT @ cat @ GOF2006 |
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650 |
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