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Jose Luis Gomez; Manuel Silva; Antonio Seoane; Agnes Borras; Mario Noriega; German Ros; Jose Antonio Iglesias; Antonio Lopez |
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All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes |
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2023 |
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Arxiv |
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We introduce UrbanSyn, a photorealistic dataset acquired through semi-procedurally generated synthetic urban driving scenarios. Developed using high-quality geometry and materials, UrbanSyn provides pixel-level ground truth, including depth, semantic segmentation, and instance segmentation with object bounding boxes and occlusion degree. It complements GTAV and Synscapes datasets to form what we coin as the 'Three Musketeers'. We demonstrate the value of the Three Musketeers in unsupervised domain adaptation for image semantic segmentation. Results on real-world datasets, Cityscapes, Mapillary Vistas, and BDD100K, establish new benchmarks, largely attributed to UrbanSyn. We make UrbanSyn openly and freely accessible (this http URL). |
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ADAS |
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Admin @ si @ GSS2023 |
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4015 |
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Author |
Onur Ferhat; Fernando Vilariño; F. Javier Sanchez |
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A cheap portable eye-tracker solution for common setups. |
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2014 |
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Journal of Eye Movement Research |
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JEMR |
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7 |
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3 |
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1-10 |
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We analyze the feasibility of a cheap eye-tracker where the hardware consists of a single webcam and a Raspberry Pi device. Our aim is to discover the limits of such a system and to see whether it provides an acceptable performance. We base our work on the open source Opengazer (Zielinski, 2013) and we propose several improvements to create a robust, real-time system which can work on a computer with 30Hz sampling rate. After assessing the accuracy of our eye-tracker in elaborated experiments involving 12 subjects under 4 different system setups, we install it on a Raspberry Pi to create a portable stand-alone eye-tracker which achieves 1.42° horizontal accuracy with 3Hz refresh rate for a building cost of 70 Euros. |
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;SIAI |
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Admin @ si @ FVS2014 |
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2435 |
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Joan M. Nuñez; Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |
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Title |
Growing Algorithm for Intersection Detection (GRAID) in branching patterns |
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2015 |
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Machine Vision and Applications |
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MVAP |
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26 |
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2 |
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387-400 |
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Bifurcation ; Crossroad; Intersection ;Retina ; Vessel |
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Analysis of branching structures represents a very important task in fields such as medical diagnosis, road detection or biometrics. Detecting intersection landmarks Becomes crucial when capturing the structure of a branching pattern. We present a very simple geometrical model to describe intersections in branching structures based on two conditions: Bounded Tangency condition (BT) and Shortest Branch (SB) condition. The proposed model precisely sets a geometrical characterization of intersections and allows us to introduce a new unsupervised operator for intersection extraction. We propose an implementation that handles the consequences of digital domain operation that,unlike existing approaches, is not restricted to a particular scale and does not require the computation of the thinned pattern. The new proposal, as well as other existing approaches in the bibliography, are evaluated in a common framework for the first time. The performance analysis is based on two manually segmented image data sets: DRIVE retinal image database and COLON-VESSEL data set, a newly created data set of vascular content in colonoscopy frames. We have created an intersection landmark ground truth for each data set besides comparing our method in the only existing ground truth. Quantitative results confirm that we are able to outperform state-of-the-art performancelevels with the advantage that neither training nor parameter tuning is needed. |
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;SIAI |
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Admin @ si @MBS2015 |
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2777 |
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Fernando Vilariño; Dan Norton; Onur Ferhat |
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Title |
Memory Fields: DJs in the Library |
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2015 |
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21 st Symposium of Electronic Arts |
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Vancouver; Canada; August 2015 |
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ISEA |
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;SIAI |
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Admin @ si @VNF2015 |
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2800 |
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Yasuko Sugito; Javier Vazquez; Trevor Canham; Marcelo Bertalmio |
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Title |
Image quality evaluation in professional HDR/WCG production questions the need for HDR metrics |
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2022 |
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IEEE Transactions on Image Processing |
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TIP |
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31 |
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5163 - 5177 |
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Measurement; Image color analysis; Image coding; Production; Dynamic range; Brightness; Extraterrestrial measurements |
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In the quality evaluation of high dynamic range and wide color gamut (HDR/WCG) images, a number of works have concluded that native HDR metrics, such as HDR visual difference predictor (HDR-VDP), HDR video quality metric (HDR-VQM), or convolutional neural network (CNN)-based visibility metrics for HDR content, provide the best results. These metrics consider only the luminance component, but several color difference metrics have been specifically developed for, and validated with, HDR/WCG images. In this paper, we perform subjective evaluation experiments in a professional HDR/WCG production setting, under a real use case scenario. The results are quite relevant in that they show, firstly, that the performance of HDR metrics is worse than that of a classic, simple standard dynamic range (SDR) metric applied directly to the HDR content; and secondly, that the chrominance metrics specifically developed for HDR/WCG imaging have poor correlation with observer scores and are also outperformed by an SDR metric. Based on these findings, we show how a very simple framework for creating color HDR metrics, that uses only luminance SDR metrics, transfer functions, and classic color spaces, is able to consistently outperform, by a considerable margin, state-of-the-art HDR metrics on a varied set of HDR content, for both perceptual quantization (PQ) and Hybrid Log-Gamma (HLG) encoding, luminance and chroma distortions, and on different color spaces of common use. |
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600.161; 611.007 |
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Admin @ si @ SVG2022 |
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3683 |
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Javier Varona; A. Pujol; Juan J. Villanueva |
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Visual tracking in application domains. |
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1999 |
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Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes. |
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Bilbao |
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ISE @ ise @ VPV1999 |
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10 |
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D. Rincon; E. Frumento; M. Angel Viñas |
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Description of a teleconsultation platform and its interaction with access networks. |
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1999 |
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V Open European Summer School. 145–150. |
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Barcelona |
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ISE @ ise @ RFV1999 |
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32 |
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David Guillamet |
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Reconeixement d´objectes en entorns poc controlats mitjançant metodes estadistics |
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1999 |
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CVC Technical Report #30 |
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51 |
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Javier Varona; Juan J. Villanueva |
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Neural Networks for Early Vision. |
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1997 |
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Proceedings of the VII NSPRIA, Vol. I. |
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ISE @ ise @ VaV1997b |
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62 |
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Craig Von Land; V. Lashin; A. Oriol; Juan J. Villanueva |
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Object-oriented Design of the DICOM Standard and its Application to Cardiovascular Imaging. |
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1997 |
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Computers in Cardiology 1997. Piscataway, NJ: IEEE Computer Society Press,24: 645–8. |
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ISE @ ise @ VLO1997 |
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68 |
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Jose Luis Alba; A. Pujol; Juan J. Villanueva |
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Novel SOM-PCA Network for Face Identification. |
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2001 |
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Applications and Science of Neural Networks, Fuzzy Systems and Evolutonary Computation IV, SPIE´s International Symposium on Optical Science and Technology. |
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ISE @ ise @ APV2001a |
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69 |
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Jose Luis Alba; A. Pujol; Juan J. Villanueva |
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ST-SOM: A Shape+Texture Self Organizing Map. |
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2001 |
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Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 1:55–60 |
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Jose Luis Alba; A. Pujol; Juan J. Villanueva |
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Separating Geometry from Texture to Improve Face Analysis. |
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2001 |
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Proceeding ICIP 2001, IEEE International Conference on Image Processing, 2:673–676 |
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Lluis Barcelo; X. Binefa |
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Bayesian Video Mosaicing with Moving Objects. |
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2001 |
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Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 1:91–96. |
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72 |
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Eva Costa |
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Localitzacio i seguiment de persones amb una camera amb Pan, Tilt i Zoom |
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2001 |
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CVC Technical Report #51 |
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