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Author Bogdan Raducanu; Jordi Vitria
Title (down) Face Recognition by Artificial Vision Systems: A Cognitive Perspective Type Journal
Year 2008 Publication International Journal of Pattern Recognition and Artificial Intelligence Abbreviated Journal IJPRAI
Volume 22 Issue 5 Pages 899–913
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Notes OR;MV Approved no
Call Number BCNPCL @ bcnpcl @ RaV2008b Serial 1007
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Author Quan-sen Sun; Pheng-ann Heng; Zhong Jin; De-shen Xia
Title (down) Face recognition based on generalized canonical correlation analysis Type Book Chapter
Year 2005 Publication Advances in Intelligent Computing, Lecture Notes in Computer Science, 3645: 958–967 Abbreviated Journal
Volume Issue Pages
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Address Hefei (China)
Corporate Author Thesis
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Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ SHJ2005 Serial 625
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Author Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z Li
Title (down) Face Presentation Attack Detection (PAD) Challenges Type Book Chapter
Year 2023 Publication Advances in Face Presentation Attack Detection Abbreviated Journal
Volume Issue Pages 17–35
Keywords
Abstract In recent years, the security of face recognition systems has been increasingly threatened. Face Anti-spoofing (FAS) is essential to secure face recognition systems primarily from various attacks. In order to attract researchers and push forward the state of the art in Face Presentation Attack Detection (PAD), we organized three editions of Face Anti-spoofing Workshop and Competition at CVPR 2019, CVPR 2020, and ICCV 2021, which have attracted more than 800 teams from academia and industry, and greatly promoted the algorithms to overcome many challenging problems. In this chapter, we introduce the detailed competition process, including the challenge phases, timeline and evaluation metrics. Along with the workshop, we will introduce the corresponding dataset for each competition including data acquisition details, data processing, statistics, and evaluation protocol. Finally, we provide the available link to download the datasets used in the challenges.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title SLCV
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Notes HUPBA Approved no
Call Number Admin @ si @ WGE2023b Serial 3956
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Author Zhong Jin; Zhen Lou; Jing-Yu Yang; Quan-sen Sun
Title (down) Face detection using template matching and skin color information Type Miscellaneous
Year 2005 Publication International Conference on Intelligent Computing, 636–645 Abbreviated Journal
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Address Hefei (China)
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Notes Approved no
Call Number Admin @ si @ JLY2005 Serial 627
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Author Murad Al Haj
Title (down) Face Detection in Color Images Using Primitive Shape Features Type Report
Year 2008 Publication CVC Technical Report #118 Abbreviated Journal
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Address Bellaterra (Spain)
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Notes ISE Approved no
Call Number Admin @ si @ AlH2008 Serial 945
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Author Francisco Javier Orozco
Title (down) Face Detection and Tracking for Facial Expression Analysis Type Report
Year 2007 Publication CVC Technical Report #103 Abbreviated Journal
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Address CVC (UAB)
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Notes Approved no
Call Number Admin @ si @ Oro2007 Serial 818
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Author Agata Lapedriza
Title (down) Face Classification using External Face Features Type Report
Year 2005 Publication CVC Technical Report #83 Abbreviated Journal
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Address CVC (UAB)
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Notes OR;MV Approved no
Call Number BCNPCL @ bcnpcl @ Lap2005 Serial 551
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Author David Masip
Title (down) Face Classification Using Discriminative Features and Classifier Combination Type Book Whole
Year 2005 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal
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Address CVC (UAB)
Corporate Author Thesis Ph.D. thesis
Publisher Place of Publication Editor Jordi Vitria
Language Summary Language Original Title
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ISSN ISBN 84-933652-3-8 Medium
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Notes OR;MV Approved no
Call Number Admin @ si @ Mas2005b Serial 602
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Author Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z Li
Title (down) Face Anti-spoofing Progress Driven by Academic Challenges Type Book Chapter
Year 2023 Publication Advances in Face Presentation Attack Detection Abbreviated Journal
Volume Issue Pages 1–15
Keywords
Abstract With the ubiquity of facial authentication systems and the prevalence of security cameras around the world, the impact that facial presentation attack techniques may have is huge. However, research progress in this field has been slowed by a number of factors, including the lack of appropriate and realistic datasets, ethical and privacy issues that prevent the recording and distribution of facial images, the little attention that the community has given to potential ethnic biases among others. This chapter provides an overview of contributions derived from the organization of academic challenges in the context of face anti-spoofing detection. Specifically, we discuss the limitations of benchmarks and summarize our efforts in trying to boost research by the community via the participation in academic challenges
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title SLCV
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Area Expedition Conference
Notes HUPBA Approved no
Call Number Admin @ si @ WGE2023c Serial 3957
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Author Zhong Jin; Zhen Lou; Jing-Yu Yang; Quan-sen Sun
Title (down) Face Detection using Template Matching and Skin-color Information Type Journal
Year 2007 Publication Neurocomputing, 70(4–6): 794–800 Abbreviated Journal
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Notes Approved no
Call Number Admin @ si @ JLY2007 Serial 878
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Author Aura Hernandez-Sabate; Lluis Albarracin; Daniel Calvo; Nuria Gorgorio
Title (down) EyeMath: Identifying Mathematics Problem Solving Processes in a RTS Video Game Type Conference Article
Year 2016 Publication 5th International Conference Games and Learning Alliance Abbreviated Journal
Volume 10056 Issue Pages 50-59
Keywords Simulation environment; Automated Driving; Driver-Vehicle interaction
Abstract Photorealistic virtual environments are crucial for developing and testing automated driving systems in a safe way during trials. As commercially available simulators are expensive and bulky, this paper presents a low-cost, extendable, and easy-to-use (LEE) virtual environment with the aim to highlight its utility for level 3 driving automation. In particular, an experiment is performed using the presented simulator to explore the influence of different variables regarding control transfer of the car after the system was driving autonomously in a highway scenario. The results show that the speed of the car at the time when the system needs to transfer the control to the human driver is critical.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title LNCS
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Area Expedition Conference GALA
Notes ADAS;IAM; Approved no
Call Number HAC2016 Serial 2864
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Author Francisco Javier Orozco; Pau Baiget; Jordi Gonzalez; Xavier Roca
Title (down) Eyelids and Face Tracking in Real-Time Type Miscellaneous
Year 2006 Publication 6th IASTED International Conference Visualization, Imaging, and Image Processing (VIIP´06), 165–170 Abbreviated Journal
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Address Palma de Mallorca (Spain)
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Notes ISE Approved no
Call Number ISE @ ise @ OBG2006 Serial 730
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Author Onur Ferhat
Title (down) Eye-Tracking with Webcam-Based Setups: Implementation of a Real-Time System and an Analysis of Factors Affecting Performance Type Report
Year 2012 Publication CVC Technical Report Abbreviated Journal
Volume 172 Issue Pages
Keywords Computer vision, eye-tracking, gaussian process, feature selection, optical flow
Abstract In the recent years commercial eye-tracking hardware has become more common, with the introduction of new models from several brands that have better performance and easier setup procedures. A cause and at the same time a result of this phenomenon is the popularity of eye-tracking research directed at marketing, accessibility and usability, among others.
One problem with these hardware components is scalability, because both the price and the necessary expertise to operate them makes it practically impossible in the large scale. In this work, we analyze the feasibility of a software eye-tracking system based on a single, ordinary webcam. Our aim is to discover the limits of such a system and to see whether it provides acceptable performances.
The significance of this setup is that it is the most common setup found in consumer environments, off-the-shelf electronic devices such as laptops, mobile phones and tablet computers. As no special equipment such as infrared lights, mirrors or zoom lenses are used; setting up and calibrating the system is easier compared to other approaches using these components.
Our work is based on the open source application Opengazer, which provides a good starting point for our contributions. We propose several improvements in order to push the system's performance further and make it feasible as a robust, real-time device. Then we carry out an elaborate experiment involving 18 human subjects and 4 different system setups. Finally, we give an analysis of the results and discuss the effects of setup changes, subject differences and modifications in the software.
Address Bellaterra
Corporate Author Computer Vision Center Thesis Master's thesis
Publisher Place of Publication Editor Fernando Vilariño
Language Summary Language Original Title
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Notes MV Approved no
Call Number Admin @ si @ Fer2012; IAM @ iam @ Fer2012 Serial 2165
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Author Helena Muñoz; Fernando Vilariño; Dimosthenis Karatzas
Title (down) Eye-Movements During Information Extraction from Administrative Documents Type Conference Article
Year 2019 Publication International Conference on Document Analysis and Recognition Workshops Abbreviated Journal
Volume Issue Pages 6-9
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Abstract A key aspect of digital mailroom processes is the extraction of relevant information from administrative documents. More often than not, the extraction process cannot be fully automated, and there is instead an important amount of manual intervention. In this work we study the human process of information extraction from invoice document images. We explore whether the gaze of human annotators during an manual information extraction process could be exploited towards reducing the manual effort and automating the process. To this end, we perform an eye-tracking experiment replicating real-life interfaces for information extraction. Through this pilot study we demonstrate that relevant areas in the document can be identified reliably through automatic fixation classification, and the obtained models generalize well to new subjects. Our findings indicate that it is in principle possible to integrate the human in the document image analysis loop, making use of the scanpath to automate the extraction process or verify extracted information.
Address Sydney; Australia; September 2019
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Area Expedition Conference ICDARW
Notes DAG; 600.140; 600.121; 600.129;SIAI Approved no
Call Number Admin @ si @ MVK2019 Serial 3336
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Author Fernando Vilariño; Stephan Ameling; Gerard Lacey; Stephen Patchett; Hugh Mulcahy
Title (down) Eye Tracking Search Patterns in Expert and Trainee Colonoscopists: A Novel Method of Assessing Endoscopic Competency? Type Journal Article
Year 2009 Publication Gastrointestinal Endoscopy Abbreviated Journal GI
Volume 69 Issue 5 Pages 370
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Area 800 Expedition Conference
Notes MV;SIAI Approved no
Call Number fernando @ fernando @ Serial 2420
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