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Author | Jose Manuel Alvarez; Theo Gevers; Antonio Lopez | ||||
Title | Evaluating Color Representation for Online Road Detection | Type | Conference Article | ||
Year | 2013 | Publication | ICCV Workshop on Computer Vision in Vehicle Technology: From Earth to Mars | Abbreviated Journal | |
Volume | Issue | Pages | 594-595 | ||
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Abstract | Detecting traversable road areas ahead a moving vehicle is a key process for modern autonomous driving systems. Most existing algorithms use color to classify pixels as road or background. These algorithms reduce the effect of lighting variations and weather conditions by exploiting the discriminant/invariant properties of different color representations. However, up to date, no comparison between these representations have been conducted. Therefore, in this paper, we perform an evaluation of existing color representations for road detection. More specifically, we focus on color planes derived from RGB data and their most com-
mon combinations. The evaluation is done on a set of 7000 road images acquired using an on-board camera in different real-driving situations. |
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Area | Expedition | Conference | CVVT:E2M | ||
Notes | ADAS;ISE | Approved | no | ||
Call Number | Admin @ si @ AGL2013 | Serial ![]() |
2794 | ||
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Author | Jose Manuel Alvarez; Felipe Lumbreras; Antonio Lopez; Theo Gevers | ||||
Title | Understanding Road Scenes using Visual Cues | Type | Miscellaneous | ||
Year | 2012 | Publication | European Conference on Computer Vision | Abbreviated Journal | |
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Abstract | DEMO | ||||
Address | Florence; Italy | ||||
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Notes | ISE | Approved | no | ||
Call Number | Admin @ si @ ALL2012 | Serial ![]() |
2795 | ||
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Author | Dan Norton; Fernando Vilariño; Onur Ferhat | ||||
Title | Memory Field – Creative Engagement in Digital Collections | Type | Conference Article | ||
Year | 2015 | Publication | Internet Librarian International Conference | Abbreviated Journal | |
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Abstract | “Memory Fields” is a trans-disciplinary project aiming at the (re)valorisation of digital collections.Its main deliverable is an interface for a dual screen installation, used to access and mix the public library digital collections. The collections being used in this case are a collection of digitised posters from the Spanish Civil War, belonging to the Arxiu General de Catalunya, and a collection of field recordings made by Dan Norton. The system generates visualisations, and the images and sounds are mixed together using narrative primitives of video dj. Users contribute to the digital collections by adding personal memories and observations. The comments and recollections appear as flowers growing in a “memory field” and memories remain public in a Twitter feed (@Memoryfields). | ||||
Address | London; UK; October 2015 | ||||
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Area | Expedition | Conference | ILI | ||
Notes | MV;SIAI | Approved | no | ||
Call Number | Admin @ si @NVF2015 | Serial ![]() |
2796 | ||
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Author | Fernando Vilariño; Dimosthenis Karatzas | ||||
Title | The Library Living Lab | Type | Conference Article | ||
Year | 2015 | Publication | Open Living Lab Days | Abbreviated Journal | |
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Address | Istanbul; Turkey; August 2015 | ||||
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Area | Expedition | Conference | OLLD | ||
Notes | MV; DAG;SIAI | Approved | no | ||
Call Number | Admin @ si @ViK2015 | Serial ![]() |
2797 | ||
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Author | Fernando Vilariño; Dimosthenis Karatzas; Marcos Catalan; Alberto Valcarcel | ||||
Title | An horizon for the Public Library as a place for innovation and creativity. The Library Living Lab in Volpelleres | Type | Book Chapter | ||
Year | 2015 | Publication | The White Book on Public Library Network from Diputació de Barcelona | Abbreviated Journal | |
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Notes | MV; DAG;SIAI | Approved | no | ||
Call Number | Admin @ si @VKC2015 | Serial ![]() |
2798 | ||
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Author | Fernando Vilariño | ||||
Title | Computer Vision and Performing Arts | Type | Conference Article | ||
Year | 2015 | Publication | Korean Scholars of Marketing Science | Abbreviated Journal | |
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Address | Seoul; Korea; October 2015 | ||||
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Area | Expedition | Conference | KAMS | ||
Notes | MV;SIAI | Approved | no | ||
Call Number | Admin @ si @Vil2015 | Serial ![]() |
2799 | ||
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Author | Fernando Vilariño; Dan Norton; Onur Ferhat | ||||
Title | Memory Fields: DJs in the Library | Type | Conference Article | ||
Year | 2015 | Publication | 21 st Symposium of Electronic Arts | Abbreviated Journal | |
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Address | Vancouver; Canada; August 2015 | ||||
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Area | Expedition | Conference | ISEA | ||
Notes | ;SIAI | Approved | no | ||
Call Number | Admin @ si @VNF2015 | Serial ![]() |
2800 | ||
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Author | Fernando Vilariño; Dan Norton; Onur Ferhat | ||||
Title | The Eye Doesn't Click – Eyetracking and Digital Content Interaction | Type | Conference Article | ||
Year | 2016 | Publication | 4S/EASST Conference | Abbreviated Journal | |
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Address | Barcelona; Spain; September 2016 | ||||
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Area | Expedition | Conference | EASST | ||
Notes | MV; 600.097;SIAI | Approved | no | ||
Call Number | Admin @ si @VNF2016 | Serial ![]() |
2801 | ||
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Author | Fernando Vilariño | ||||
Title | Giving Value to digital collections in the Public Library | Type | Conference Article | ||
Year | 2016 | Publication | Librarian 2020 | Abbreviated Journal | |
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Address | Brussels; Belgium; October 2016 | ||||
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Area | Expedition | Conference | LIB | ||
Notes | MV; 600.097;SIAI | Approved | no | ||
Call Number | Admin @ si @Vil2016a | Serial ![]() |
2802 | ||
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Author | Fernando Vilariño; Dimosthenis Karatzas | ||||
Title | A Living Lab approach for Citizen Science in Libraries | Type | Conference Article | ||
Year | 2016 | Publication | 1st International ECSA Conference | Abbreviated Journal | |
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Address | Berlin; Germany; May 2016 | ||||
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Area | Expedition | Conference | ECSA | ||
Notes | MV; DAG; 600.084; 600.097;SIAI | Approved | no | ||
Call Number | Admin @ si @ViK2016 | Serial ![]() |
2804 | ||
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Author | Fernando Vilariño | ||||
Title | Dissemination, creation and education from archives: Case study of the collection of Digitized Visual Poems from Joan Brossa Foundation | Type | Conference Article | ||
Year | 2016 | Publication | International Workshop on Poetry: Archives, Poetries and Receptions | Abbreviated Journal | |
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Address | Barcelona; Spain; October 2016 | ||||
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Area | Expedition | Conference | POETRY | ||
Notes | MV; 600.097;SIAI | Approved | no | ||
Call Number | Admin @ si @Vil2016b | Serial ![]() |
2805 | ||
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Author | Miguel Oliveira; Victor Santos; Angel Sappa; P. Dias; A. Moreira | ||||
Title | Incremental Scenario Representations for Autonomous Driving using Geometric Polygonal Primitives | Type | Journal Article | ||
Year | 2016 | Publication | Robotics and Autonomous Systems | Abbreviated Journal | RAS |
Volume | 83 | Issue | Pages | 312-325 | |
Keywords | Incremental scene reconstruction; Point clouds; Autonomous vehicles; Polygonal primitives | ||||
Abstract | When an autonomous vehicle is traveling through some scenario it receives a continuous stream of sensor data. This sensor data arrives in an asynchronous fashion and often contains overlapping or redundant information. Thus, it is not trivial how a representation of the environment observed by the vehicle can be created and updated over time. This paper presents a novel methodology to compute an incremental 3D representation of a scenario from 3D range measurements. We propose to use macro scale polygonal primitives to model the scenario. This means that the representation of the scene is given as a list of large scale polygons that describe the geometric structure of the environment. Furthermore, we propose mechanisms designed to update the geometric polygonal primitives over time whenever fresh sensor data is collected. Results show that the approach is capable of producing accurate descriptions of the scene, and that it is computationally very efficient when compared to other reconstruction techniques. | ||||
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Publisher | Elsevier B.V. | Place of Publication | Editor | ||
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Notes | ADAS; 600.086, 600.076 | Approved | no | ||
Call Number | Admin @ si @OSS2016a | Serial ![]() |
2806 | ||
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Author | Angel Sappa; P. Carvajal; Cristhian A. Aguilera-Carrasco; Miguel Oliveira; Dennis Romero; Boris X. Vintimilla | ||||
Title | Wavelet based visible and infrared image fusion: a comparative study | Type | Journal Article | ||
Year | 2016 | Publication | Sensors | Abbreviated Journal | SENS |
Volume | 16 | Issue | 6 | Pages | 1-15 |
Keywords | Image fusion; fusion evaluation metrics; visible and infrared imaging; discrete wavelet transform | ||||
Abstract | This paper evaluates different wavelet-based cross-spectral image fusion strategies adopted to merge visible and infrared images. The objective is to find the best setup independently of the evaluation metric used to measure the performance. Quantitative performance results are obtained with state of the art approaches together with adaptations proposed in the current work. The options evaluated in the current work result from the combination of different setups in the wavelet image decomposition stage together with different fusion strategies for the final merging stage that generates the resulting representation. Most of the approaches evaluate results according to the application for which they are intended for. Sometimes a human observer is selected to judge the quality of the obtained results. In the current work, quantitative values are considered in order to find correlations between setups and performance of obtained results; these correlations can be used to define a criteria for selecting the best fusion strategy for a given pair of cross-spectral images. The whole procedure is evaluated with a large set of correctly registered visible and infrared image pairs, including both Near InfraRed (NIR) and Long Wave InfraRed (LWIR). | ||||
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Notes | ADAS; 600.086; 600.076 | Approved | no | ||
Call Number | Admin @ si @SCA2016 | Serial ![]() |
2807 | ||
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Author | Cristhian A. Aguilera-Carrasco; F. Aguilera; Angel Sappa; C. Aguilera; Ricardo Toledo | ||||
Title | Learning cross-spectral similarity measures with deep convolutional neural networks | Type | Conference Article | ||
Year | 2016 | Publication | 29th IEEE Conference on Computer Vision and Pattern Recognition Worshops | Abbreviated Journal | |
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Abstract | The simultaneous use of images from different spectracan be helpful to improve the performance of many computer vision tasks. The core idea behind the usage of crossspectral approaches is to take advantage of the strengths of each spectral band providing a richer representation of a scene, which cannot be obtained with just images from one spectral band. In this work we tackle the cross-spectral image similarity problem by using Convolutional Neural Networks (CNNs). We explore three different CNN architectures to compare the similarity of cross-spectral image patches. Specifically, we train each network with images from the visible and the near-infrared spectrum, and then test the result with two public cross-spectral datasets. Experimental results show that CNN approaches outperform the current state-of-art on both cross-spectral datasets. Additionally, our experiments show that some CNN architectures are capable of generalizing between different crossspectral domains. | ||||
Address | Las vegas; USA; June 2016 | ||||
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Area | Expedition | Conference | CVPRW | ||
Notes | ADAS; 600.086; 600.076 | Approved | no | ||
Call Number | Admin @ si @AAS2016 | Serial ![]() |
2809 | ||
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Author | Alejandro Gonzalez Alzate; David Vazquez; Antonio Lopez; Jaume Amores | ||||
Title | On-Board Object Detection: Multicue, Multimodal, and Multiview Random Forest of Local Experts | Type | Journal Article | ||
Year | 2017 | Publication | IEEE Transactions on cybernetics | Abbreviated Journal | Cyber |
Volume | 47 | Issue | 11 | Pages | 3980 - 3990 |
Keywords | Multicue; multimodal; multiview; object detection | ||||
Abstract | Despite recent significant advances, object detection continues to be an extremely challenging problem in real scenarios. In order to develop a detector that successfully operates under these conditions, it becomes critical to leverage upon multiple cues, multiple imaging modalities, and a strong multiview (MV) classifier that accounts for different object views and poses. In this paper, we provide an extensive evaluation that gives insight into how each of these aspects (multicue, multimodality, and strong MV classifier) affect accuracy both individually and when integrated together. In the multimodality component, we explore the fusion of RGB and depth maps obtained by high-definition light detection and ranging, a type of modality that is starting to receive increasing attention. As our analysis reveals, although all the aforementioned aspects significantly help in improving the accuracy, the fusion of visible spectrum and depth information allows to boost the accuracy by a much larger margin. The resulting detector not only ranks among the top best performers in the challenging KITTI benchmark, but it is built upon very simple blocks that are easy to implement and computationally efficient. | ||||
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ISSN | 2168-2267 | ISBN | Medium | ||
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Notes | ADAS; 600.085; 600.082; 600.076; 600.118 | Approved | no | ||
Call Number | Admin @ si @ | Serial ![]() |
2810 | ||
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