All Outputs (36)

Deep learning for text detection and recognition in complex engineering diagrams. (2020)
Presentation / Conference Contribution
JAMIESON, L, MORENO-GARCIA, C.F. and ELYAN, E. 2020. Deep learning for text detection and recognition in complex engineering diagrams. In Proceedings of the 2020 Institute of Electrical and Electronics Engineers (IEEE) International joint conference on neural networks (IEEE IJCNN 2020), part of the 2020 IEEE World congress on computational intelligence (IEEE WCCI 2020) and co-located with the 2020 IEEE congress on evolutionary computation (IEEE CEC 2020) and the 2020 IEEE International fuzzy systems conference (FUZZ-IEEE 2020), 19-24 July 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9207127. Available from: https://doi.org/10.1109/IJCNN48605.2020.9207127

Engineering drawings such as Piping and Instrumentation Diagrams contain a vast amount of text data which is essential to identify shapes, pipeline activities, tags, amongst others. These diagrams are often stored in undigitised format, such as paper... Read More about Deep learning for text detection and recognition in complex engineering diagrams..

Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks. (2020)
Presentation / Conference Contribution
MORENO-GARCÍA, C.F., JOHNSTON, P. and GARKUWA, B. 2020. Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks. In Proceedings of the 2020 Institute of Electrical and Electronics Engineers (IEEE) International joint conference on neural networks (IEEE IJCNN 2020), part of the 2020 IEEE World congress on computational intelligence (IEEE WCCI 2020) and co-located with the 2020 IEEE congress on evolutionary computation (IEEE CEC 2020) and the 2020 IEEE International fuzzy systems conference (FUZZ-IEEE 2020), 19-24 July 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9207479. Available from: https://doi.org/10.1109/IJCNN48605.2020.9207479

One of the key features of most document image digitisation systems is the capability of discerning between the main components of the printed representation at hand. In the case of engineering drawings, such as circuit diagrams, telephone exchanges... Read More about Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks..

Symbols in engineering drawings (SiED): an imbalanced dataset benchmarked by convolutional neural networks. (2020)
Presentation / Conference Contribution
ELYAN, E., MORENO-GARCÍA, C.F. and JOHNSTON, P. 2020. Symbols in engineering drawings (SiED): an imbalanced dataset benchmarked by convolutional neural networks. In Iliadis, L., Angelov, P.P., Jayne, C. and Pimenidis, E. (eds.) Proceedings of the 21st Engineering applications of neural networks conference 2020 (EANN 2020); proceedings of the EANN 2020, 5-7 June 2020, Halkidiki, Greece. Proceedings of the International Neural Networks Society, 2. Cham: Springer [online], pages 215-224. Available from: https://doi.org/10.1007/978-3-030-48791-1_16

Engineering drawings are common across different domains such as Oil & Gas, construction, mechanical and other domains. Automatic processing and analysis of these drawings is a challenging task. This is partly due to the complexity of these documents... Read More about Symbols in engineering drawings (SiED): an imbalanced dataset benchmarked by convolutional neural networks..

A comparison of feature extractors for panorama stitching in an autonomous car architecture. (2019)
Presentation / Conference Contribution
CORTÉS-GALLARDO, E., MORENO-GARCIA, C.F., ZHU, A., CHÍPULI-SILVA, D., GONZÁLEZ-GONZÁLEZ, J.A., MORALES-ORTIZ, D., FERNÁNDEZ, S., URRIZA, B., VALVERDE-LÓPEZ, J., MARÍN, A., PÉREZ, H., IZQUIERDO-REYES, J. and BUSTAMANTE-BELLO, R. 2019. A comparison of feature extractors for panorama stitching in an autonomous care architecture. In Proceedings of 2019 International conference on mechatronics, electronics and automotive engineering (ICMEAE 2019), 26-29 November 2019, Cuernavaca, Mexico. Piscataway: IEEE [online], page 50-55. Available from: https://doi.org/10.1109/ICMEAE.2019.00017

Panorama stitching consists on frames being put together to create a 360o view. This technique is proposed for its implementation in autonomous vehicles instead of the use of an external 360o camera, mostly due to its reduced cost and improved aerody... Read More about A comparison of feature extractors for panorama stitching in an autonomous car architecture..

Digitisation of assets from the oil and gas industry: challenges and opportunities. (2019)
Presentation / Conference Contribution
MORENO-GARCIA, C.F. and ELYAN, E. 2019. Digitisation of assets from the oil and gas industry: challenges and opportunities. In Proceedings of 2019 International conference on document analysis and recognition workshops (ICDARW), 22-25 September 2019, Sydney, Australia. Piscataway: IEEE [online], 7, pages 2-5. Available from: https://doi.org/10.1109/ICDARW.2019.60122

Automated processing and analysis of legacies of printed documents across the Oil & Gas industry provide a unique opportunity and at the same time pose a significant challenge. One particular example is the case of Piping and Instrumentation Diagrams... Read More about Digitisation of assets from the oil and gas industry: challenges and opportunities..

Modelling the generalised median correspondence through an edit distance. (2018)
Presentation / Conference Contribution
MORENO-GARCÍA, C.F. and SERRATOSA, F. 2018. Modelling the generalised median correspondence through an edit distance. In Bai, X., Hancock, E.R., Ho, T.K., Wilson, R.C., Biggio, B. and Robles-Kelly, A. (eds.) Structural, syntactic, and statistical pattern recognition: proceedings of the 2018 Joint International Association for Pattern Recognition (IAPR) international workshops on structural and syntactic pattern recognition (SSPR 2018), and statistical techniques in pattern recognition (SPR 2018) (S+SSPR 2018), 17-19 August 2018, Beijing, China. Lecture notes in computer science, 11004. Cham: Springer [online], pages 271-281. Available from: https://doi.org/10.1007/978-3-319-97785-0_26

On the one hand, classification applications modelled by structural pattern recognition, in which elements are represented as strings, trees or graphs, have been used for the last thirty years. In these models, structural distances are modelled as th... Read More about Modelling the generalised median correspondence through an edit distance..

Symbols classification in engineering drawings. (2018)
Presentation / Conference Contribution
ELYAN, E., MORENO GARCIA, C. and JAYNE, C. 2018. Symbols classification in engineering drawings. In Proceedings of the 2018 International joint conference on neural networks (IJCNN 2018), 8-13 July 2018, Rio de Janeiro, Brazil. Piscataway, NJ: IEEE [online], article number 8489087. Available from: https://doi.org/10.1109/IJCNN.2018.8489087

Technical drawings are commonly used across different industries such as Oil and Gas, construction, mechanical and other types of engineering. In recent years, the digitization of these drawings is becoming increasingly important. In this paper, we p... Read More about Symbols classification in engineering drawings..

Digital interpretation of sensor-equipment diagrams. (2018)
Presentation / Conference Contribution
MORENO-GARCÍA, C.F. 2018. Digital interpretation of sensor-equipment diagrams. In Martin, K., Wiratunga, N. and Smith, L.S. (eds.) Proceedings of the 2018 Scottish Informatics and Computer Science Alliance (SCISA) workshop on reasoning, learning and explainability (ReaLX 2018), 27 June 2018, Aberdeen, UK. CEUR workshop proceedings, 2151. Aachen: CEUR-WS [online], session 2, paper 1. Available from: http://ceur-ws.org/Vol-2151/Paper_s2.pdf

A sensor-equipment diagram is a type of engineering drawing used in the industrial practice that depicts the interconnectivity between a group of sensors and a portion of an Oil & Gas facility. The interpretation of these documents is not a straightf... Read More about Digital interpretation of sensor-equipment diagrams..

New trends on digitisation of complex engineering drawings. (2018)
Presentation / Conference Contribution
MORENO-GARCIA, C.F., ELYAN, E. and JAYNE, C. 2019. New trends on digitisation of complex engineering drawings. Neural computing and applications [online], 31(6): selected papers from the proceedings of the 18th Engineering applications of neural networks conference (EANN 2017), 25-27 August 2017, Athens, Greece, pages 1695-1712. Available from: https://doi.org/10.1007/s00521-018-3583-1

Engineering drawings are commonly used across different industries such as oil and gas, mechanical engineering and others. Digitising these drawings is becoming increasingly important. This is mainly due to the legacy of drawings and documents that m... Read More about New trends on digitisation of complex engineering drawings..

Heuristics-based detection to improve text/graphics segmentation in complex engineering drawings. (2017)
Presentation / Conference Contribution
MORENO-GARCÍA, C.F., ELYAN, E. and JAYNE, C. 2017. Heuristics-based detection to improve text/graphics segmentation in complex engineering drawings. In Boracchi, G., Iliadis, L., Jayne, C. and Likas, A. (eds.) Engineering applications of neural networks: proceedings of the 18th International engineering applications of neural networks (EANN 2017), 25-27 August 2017, Athens, Greece. Communications in computer and information science, 744. Cham: Springer [online], pages 87-98. Available from: https://doi.org/10.1007/978-3-319-65172-9_8

The demand for digitisation of complex engineering drawings becomes increasingly important for the industry given the pressure to improve the efficiency and time effectiveness of operational processes. There have been numerous attempts to solve this... Read More about Heuristics-based detection to improve text/graphics segmentation in complex engineering drawings..

An edit distance between graph correspondences. (2017)
Presentation / Conference Contribution
MORENO-GARCIA, C.F., SERRATOSA, F. and JIANG, X. 2017. An edit distance between graph correspondences. In Foggia, P., Liu, C.-L. and Vento, M (eds.) 2017. Graph-based representations in pattern recognition: proceedings of the 11th Image analysis in patter recognition technical committee 15th (IAPR-TC-15) international workshop (GbRPR 2017), 16-18 May 2017, Anacapri, Italy. Cham: Springer [online], pages 232-241. Available from: https://doi.org/10.1007/978-3-319-58961-9_21

The Hamming Distance has been largely used to calculate the dissimilarity of a pair of correspondences (also known as labellings or matchings) between two structures (i.e. sets of points, strings or graphs). Although it has the advantage of being sim... Read More about An edit distance between graph correspondences..

Graph edit distance or graph edit pseudo-distance? (2016)
Presentation / Conference Contribution
SERRATOSA, F., CORTÉS, X., and MORENO, C.-F. 2016. Graph edit distance or graph edit pseudo-distance? In Robles-Kelly, A., Loog, M., Biggio, B., Escolano, F. and Wilson, R. (eds.). Structural, syntactic, and statistical pattern recognition: proceedings of the 2016 Joint International Association of Pattern Recognition (IAPR) International workshops on Statistical techniques in pattern recognition (SPR) and Structural and syntactic pattern recognition (SSPR) (S+SSPR 2020), 29 November - 2 December 2016, Merida, Mexico. Lecture notes in computer science, 10029. Cham: Springer [online], pages 530-540. Available from: https://doi.org/10.1007/978-3-319-49055-7_47

Graph Edit Distance has been intensively used since its appearance in 1983. This distance is very appropriate if we want to compare a pair of attributed graphs from any domain and obtain not only a distance, but also the best correspondence between n... Read More about Graph edit distance or graph edit pseudo-distance?.

Generalised median of a set of correspondences based on the hamming distance. (2016)
Presentation / Conference Contribution
MORENO-GARCÍA, C.F., SERRATOSA, F. and CORTÉS, X. 2016. Generalised median of a set of correspondences based on the hamming distance. In Robles-Kelly A., Loog M., Biggio B., Escolano F., Wilson R. (eds.) Structural, syntatic and statistical pattern recognition: proceedings of the 2016 Joint International Association of Pattern Recognition (IAPR) structural, syntatic and statistical pattern recognition international workshop (S+SSPR 2016), 29 November - 2 December 2016, Mérida, Mexico. Lecture Notes in Computer Science, vol 10029. Cham: Springer, pages 507-518. Available from: https://doi.org/10.1007/978-3-319-49055-7_45

A correspondence is a set of mappings that establishes a relation between the elements of two data structures (i.e. sets of points, strings, trees or graphs). If we consider several correspondences between the same two structures, one option to defin... Read More about Generalised median of a set of correspondences based on the hamming distance..

A graph repository for learning error-tolerant graph matching. (2016)
Presentation / Conference Contribution
MORENO-GARCÍA, C.F., CORTÉS, X. and SERRATOSA, F. 2016. A graph repository for learning error-tolerant graph matching. In Robles-Kelly, A., Loog, M., Biggio, B., Escolano, F. and Wilson, R. (eds.) Structural, syntactic and statistical pattern recognition: proceedings of 2016 Joint International Association of Pattern Recognition (IAPR) Structural and syntactic pattern recognition internaional workshops (SSPR 2016), and Statistical techniques in pattern recognition (SPR 2016) (S+SSPR 2016), 20 November - 2 December 2016, Mérida, Mexico. Lecture notes in computer science, 10029. Cham: Springer [online], pages 519-529. Available from: https://doi.org/10.1007/978-3-319-49055-7_46

In the last years, efforts in the pattern recognition field have been especially focused on developing systems that use graph based representations. To that aim, some graph repositories have been presented to test graph-matching algorithms or to lear... Read More about A graph repository for learning error-tolerant graph matching..

Semi-automatic pose estimation of a fleet of robots with embedded stereoscopic cameras. (2016)
Presentation / Conference Contribution
CORTÉS, X., SERRATOSA, F. and MORENO-GARCIA, C.-F. 2016. Semi-automatic pose estimation of a fleet of robots with embedded stereoscopic cameras. In Proceedings of 21st Institute of Electrical Electronic Engineers (IEEE) Emerging technologies and factory automation international conference 2016 (ETFA 2016), 6-9 September 2016, Berlin, Germany. Piscataway: IEEE [online], article ID 7733640. Available from: https://doi.org/10.1109/ETFA.2016.7733640

Given a fleet of robots, automatic estimation of the relative poses between them could be inaccurate in specific environments. We propose a framework composed by the fleet of robots with embedded stereoscopic cameras providing 2D and 3D images of the... Read More about Semi-automatic pose estimation of a fleet of robots with embedded stereoscopic cameras..

An interactive model for structural pattern recognition based on the Bayes classifier. (2015)
Presentation / Conference Contribution
CORTÉS, X., SERRATOSA, F. and MORENO-GARCÍA, C.F. 2015. An interactive model for structural pattern recognition based on the Bayes classifier. In De Marsico, M., Figueiredo, M. and Fred, A. (eds.) Proceedings of 4th International conference on pattern recognition applications and methods (ICPRAM 2015), 10-12 January 2015, Lisbon, Portugal, vol 1. Setubal: SCITEPRSS [online], pages 240-247. Available from: https://doi.org/10.5220/0005201602400247

This paper presents an interactive model for structural pattern recognition based on a naïve Bayes classifier. In some applications, the automatically computed correlation between local parts of two images is not good enough. Moreover, humans are ver... Read More about An interactive model for structural pattern recognition based on the Bayes classifier..