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Author (up) 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 Pages 100975 - 100985
Keywords
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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Notes LAMP Approved no
Call Number Admin @ si @ AGV2023 Serial 3969
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Author (up) Cristhian Aguilera
Title Local feature description in cross-spectral imagery Type Book Whole
Year 2017 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal
Volume Issue Pages
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Abstract Over the last few years, the number of consumer computer vision applications has increased dramatically. Today, computer vision solutions can be found in video game consoles, smartphone applications, driving assistance – just to name a few. Ideally, we require the performance of those applications, particularly those that are safety critical to remain constant under any external environment factors, such as changes in illumination or weather conditions. However, this is not always possible or very difficult to obtain by only using visible imagery, due to the inherent limitations of the images from that spectral band. For that reason, the use of images from different or multiple spectral bands is becoming more appealing.
The aforementioned possible advantages of using images from multiples spectral bands on various vision applications make multi-spectral image processing a relevant topic for research and development. Like in visible image processing, multi-spectral image processing needs tools and algorithms to handle information from various spectral bands. Furthermore, traditional tools such as local feature detection, which is the basis of many vision tasks such as visual odometry, image registration, or structure from motion, must be adjusted or reformulated to operate under new conditions. Traditional feature detection, description, and matching methods tend to underperform in multi-spectral settings, in comparison to mono-spectral settings, due to the natural differences between each spectral band.
The work in this thesis is focused on the local feature description problem when cross-spectral images are considered. In this context, this dissertation has three main contributions. Firstly, the work starts by proposing the usage of a combination of frequency and spatial information, in a multi-scale scheme, as feature description. Evaluations of this proposal, based on classical hand-made feature descriptors, and comparisons with state of the art cross-spectral approaches help to find and understand limitations of such strategy. Secondly, different convolutional neural network (CNN) based architectures are evaluated when used to describe cross-spectral image patches. Results showed that CNN-based methods, designed to work with visible monocular images, could be successfully applied to the description of images from two different spectral bands, with just minor modifications. In this framework, a novel CNN-based network model, specifically intended to describe image patches from two different spectral bands, is proposed. This network, referred to as Q-Net, outperforms state of the art in the cross-spectral domain, including both previous hand-made solutions as well as L2 CNN-based architectures. The third contribution of this dissertation is in the cross-spectral feature description application domain. The multispectral odometry problem is tackled showing a real application of cross-spectral descriptors
In addition to the three main contributions mentioned above, in this dissertation, two different multi-spectral datasets are generated and shared with the community to be used as benchmarks for further studies.
Address October 2017
Corporate Author Thesis Ph.D. thesis
Publisher Ediciones Graficas Rey Place of Publication Editor Angel Sappa
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN 978-84-945373-6-3 Medium
Area Expedition Conference
Notes ADAS; 600.118 Approved no
Call Number Admin @ si @ Agu2017 Serial 3020
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Author (up) Cristhian Aguilera; Fernando Barrera; Angel Sappa; Ricardo Toledo
Title A Novel SIFT-Like-Based Approach for FIR-VS Images Registration Type Conference Article
Year 2012 Publication 11th Quantitative InfraRed Thermography Abbreviated Journal
Volume Issue Pages
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Abstract
Address Naples, Italy
Corporate Author Thesis
Publisher Place of Publication Editor
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Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference QIRT
Notes ADAS; TV Approved no
Call Number Admin @ si @ ABS2012 Serial 2017
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Author (up) Cristhian Aguilera; Fernando Barrera; Felipe Lumbreras; Angel Sappa; Ricardo Toledo
Title Multispectral Image Feature Points Type Journal Article
Year 2012 Publication Sensors Abbreviated Journal SENS
Volume 12 Issue 9 Pages 12661-12672
Keywords multispectral image descriptor; color and infrared images; feature point descriptor
Abstract Far-Infrared and Visible Spectrum images. It allows matching interest points on images of the same scene but acquired in different spectral bands. Initially, points of interest are detected on both images through a SIFT-like based scale space representation. Then, these points are characterized using an Edge Oriented Histogram (EOH) descriptor. Finally, points of interest from multispectral images are matched by finding nearest couples using the information from the descriptor. The provided experimental results and comparisons with similar methods show both the validity of the proposed approach as well as the improvements it offers with respect to the current state-of-the-art.
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Notes ADAS Approved no
Call Number Admin @ si @ ABL2012 Serial 2154
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Author (up) Cristhian Aguilera; M.Ramos; Angel Sappa
Title Simulated Annealing: A Novel Application of Image Processing in the Wood Area Type Book Chapter
Year 2012 Publication Simulated Annealing – Advances, Applications and Hybridizations Abbreviated Journal
Volume Issue Pages 91-104
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Address
Corporate Author Thesis
Publisher Place of Publication Editor Marcos de Sales Guerra Tsuzuki
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN 978-953-51-0710-1 Medium
Area Expedition Conference
Notes ADAS Approved no
Call Number Admin @ si @ ARS2012 Serial 2156
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Author (up) Cristhian Aguilera; Xavier Soria; Angel Sappa; Ricardo Toledo
Title RGBN Multispectral Images: a Novel Color Restoration Approach Type Conference Article
Year 2017 Publication 15th International Conference on Practical Applications of Agents and Multi-Agent System Abbreviated Journal
Volume Issue Pages
Keywords Multispectral Imaging; Free Sensor Model; Neural Network
Abstract This paper describes a color restoration technique used to remove NIR information from single sensor cameras where color and near-infrared images are simultaneously acquired|referred to in the literature as RGBN images. The proposed approach is based on a neural network architecture that learns the NIR information contained in the RGBN images. The proposed approach is evaluated on real images obtained by using a pair of RGBN cameras. Additionally, qualitative comparisons with a nave color correction technique based on mean square
error minimization are provided.
Address Porto; Portugal; June 2017
Corporate Author Thesis
Publisher Place of Publication Editor
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Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference PAAMS
Notes ADAS; MSIAU; 600.118; 600.122 Approved no
Call Number Admin @ si @ ASS2017 Serial 2918
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Author (up) Cristina Cañero
Title Deformable models applied in Medical Imaging Type Report
Year 1999 Publication CVC Technical Report #33 Abbreviated Journal
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Abstract
Address CVC (UAB)
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Notes Approved no
Call Number Admin @ si @ Can1999 Serial 193
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Author (up) Cristina Cañero; E Fernandez-Nofrerias; J. Mauri; Petia Radeva
Title Modelling the Acquisition Geometry of a C-arm Angiography System for 3D Reconstruction. Type Miscellaneous
Year 2002 Publication Abbreviated Journal
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Notes MILAB Approved no
Call Number BCNPCL @ bcnpcl @ CFM2002b Serial 306
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Author (up) Cristina Cañero; Fernando Vilariño; Petia Radeva
Title Predictive (un) distortion model and 3D Reconstruction by Biplane Snakes Type Journal
Year 2002 Publication IEEE Transactions on Medical Imaging (IF: 2.911) Abbreviated Journal
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Abstract
Address
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Area Expedition Conference
Notes MILAB;SIAI Approved no
Call Number BCNPCL @ bcnpcl @ CVR2002 Serial 269
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Author (up) Cristina Cañero; Nikolaos Thomos; George A. Triantafyllid; George C. Litos; Michael G. Strintzis
Title Mobile Tele-echography: User Interface Design Type Journal
Year 2005 Publication IEEE Transactions on Information Technology in Biomedicine, 9(1):44–49 (IF: 1.376) Abbreviated Journal
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Abstract
Address
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Notes Approved no
Call Number Admin @ si @ CTT2005 Serial 537
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Author (up) Cristina Cañero; Petia Radeva
Title Predictive (un)distortion model for 3D reconstruction purpouses Type Report
Year 2002 Publication CVC Technical Report # 61 Abbreviated Journal
Volume Issue Pages
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Abstract
Address CVC (UAB)
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Notes MILAB Approved no
Call Number BCNPCL @ bcnpcl @ CaR2002 Serial 327
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Author (up) Cristina Cañero; Petia Radeva
Title Vesselness enhancement diffusion Type Journal Article
Year 2003 Publication Pattern Recognition Letters Abbreviated Journal PRL
Volume 24 Issue 16 Pages 3141–3151
Keywords
Abstract IF: 0.809
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Area Expedition Conference
Notes MILAB Approved no
Call Number BCNPCL @ bcnpcl @ CaR2003 Serial 371
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Author (up) Cristina Cañero; Petia Radeva; M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; C. Julia
Title Modelo experimental para la reconstruccion tridimensional de las arterias coronarias a partir de imagenes de coronariografia Type Journal
Year 2002 Publication Abbreviated Journal
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Address Madrid
Corporate Author Thesis
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Notes MILAB Approved no
Call Number BCNPCL @ bcnpcl @ GMF2002e Serial 434
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Author (up) Cristina Cañero; Petia Radeva; Oriol Pujol; Ricardo Toledo; Debora Gil; J. Saludes; Juan J. Villanueva; B. Garcia del Blanco; J. Mauri; E. Fernandez-Nofrerias; J.A. Gomez-Hospital; E. Iraculis; J. Comin; C. Quiles; F. Jara; A. Cequier; E. Esplugas
Title Optimal Stent Implantation: Three-dimensional Evaluation of the Mutual Position of Stent and Vessel via Intracoronary Ecography Type Conference Article
Year 1999 Publication Proceedings of International Conference on Computer in Cardiology (CIC´99) Abbreviated Journal
Volume Issue Pages
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Abstract We present a new automatic technique to visualize and quantify the mutual position between the stent and the vessel wall by considering their three-dimensional reconstruction. Two deformable generalized cylinders adapt to the image features in all IVUS planes corresponding to the vessel wall and the stent in order to reconstruct the boundaries of the stent and the vessel in space. The image features that characterize the stent and the vessel wall are determined in terms of edge and ridge image detectors taking into account the gray level of the image pixels. We show that the 30 reconstruction by deformable cylinders is accurate and robust due to the spatial data coherence in the considered volumetric IVUS image. The main clinic utility of the stent and vessel reconstruction by deformable’ cylinders consists of its possibility to visualize and to assess the optimal stent introduction.
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Notes MILAB; RV; IAM; ADAS; HuPBA Approved no
Call Number IAM @ iam @ CRP1999a Serial 1491
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Author (up) Cristina Cañero; Petia Radeva; Oriol Pujol; Ricardo Toledo; Debora Gil; J. Saludes; Juan J. Villanueva; B. Garcia del Blanco; J. Mauri; Eduard Fernandez-Nofrerias; J.A. Gomez-Hospital; E. Iraculis; J. Comin; C. Quiles; F. Jara; A. Cequier; E.Esplugas
Title Three-dimensional reconstruction and quantification of the coronary tree using intravascular ultrasound images Type Conference Article
Year 1999 Publication Proceedings of International Conference on Computer in Cardiology (CIC´99) Abbreviated Journal
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Abstract In this paper we propose a new Computer Vision technique to reconstruct the vascular wall in space using a deformable model-based technique and compounding methods, based in biplane angiography and intravascular ultrasound data jicsion. It is also proposed a generalpurpose three-dimensional guided interpolation method. The three dimensional centerline of the vessel is reconstructed from geometrically corrected biplane angiographies using automatic segmentation methods and snakes. The IVUS image planes are located in the threedimensional space and correctly oriented. A led interpolation method based in B-SurJaces and snakes isused to fill the gaps among image planes
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Series Editor Series Title Abbreviated Series Title
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Area Expedition Conference CINC99
Notes MILAB;RV;IAM;ADAS;HuPBA Approved no
Call Number IAM @ iam @ CRP1999b Serial 1492
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