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Bogdan Raducanu; Jordi Vitria |
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Face Recognition by Artificial Vision Systems: A Cognitive Perspective |
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2008 |
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International Journal of Pattern Recognition and Artificial Intelligence |
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IJPRAI |
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22 |
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5 |
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899–913 |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ RaV2008b |
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1007 |
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Quan-sen Sun; Pheng-ann Heng; Zhong Jin; De-shen Xia |
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Title |
Face recognition based on generalized canonical correlation analysis |
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2005 |
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Advances in Intelligent Computing, Lecture Notes in Computer Science, 3645: 958–967 |
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Hefei (China) |
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no |
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Admin @ si @ SHJ2005 |
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625 |
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Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z Li |
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Title |
Face Presentation Attack Detection (PAD) Challenges |
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Book Chapter |
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Year |
2023 |
Publication |
Advances in Face Presentation Attack Detection |
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17–35 |
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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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HUPBA |
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no |
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Admin @ si @ WGE2023b |
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3956 |
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Author |
Zhong Jin; Zhen Lou; Jing-Yu Yang; Quan-sen Sun |
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Title |
Face detection using template matching and skin color information |
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2005 |
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International Conference on Intelligent Computing, 636–645 |
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Hefei (China) |
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no |
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Admin @ si @ JLY2005 |
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627 |
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Author |
Murad Al Haj |
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Title |
Face Detection in Color Images Using Primitive Shape Features |
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2008 |
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CVC Technical Report #118 |
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Bellaterra (Spain) |
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ISE |
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no |
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Admin @ si @ AlH2008 |
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945 |
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Author |
Francisco Javier Orozco |
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Title |
Face Detection and Tracking for Facial Expression Analysis |
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2007 |
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CVC Technical Report #103 |
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CVC (UAB) |
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no |
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Admin @ si @ Oro2007 |
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818 |
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Author |
Agata Lapedriza |
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Title |
Face Classification using External Face Features |
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Report |
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2005 |
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CVC Technical Report #83 |
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CVC (UAB) |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ Lap2005 |
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551 |
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Author |
David Masip |
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Title |
Face Classification Using Discriminative Features and Classifier Combination |
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2005 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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CVC (UAB) |
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Ph.D. thesis |
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Jordi Vitria |
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84-933652-3-8 |
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OR;MV |
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Admin @ si @ Mas2005b |
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602 |
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Author |
Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z Li |
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Title |
Face Anti-spoofing Progress Driven by Academic Challenges |
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Book Chapter |
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2023 |
Publication |
Advances in Face Presentation Attack Detection |
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1–15 |
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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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HUPBA |
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no |
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Admin @ si @ WGE2023c |
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3957 |
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Author |
Zhong Jin; Zhen Lou; Jing-Yu Yang; Quan-sen Sun |
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Title |
Face Detection using Template Matching and Skin-color Information |
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2007 |
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Neurocomputing, 70(4–6): 794–800 |
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Admin @ si @ JLY2007 |
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878 |
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Aura Hernandez-Sabate; Lluis Albarracin; Daniel Calvo; Nuria Gorgorio |
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Title |
EyeMath: Identifying Mathematics Problem Solving Processes in a RTS Video Game |
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2016 |
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5th International Conference Games and Learning Alliance |
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10056 |
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50-59 |
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Simulation environment; Automated Driving; Driver-Vehicle interaction |
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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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LNCS |
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GALA |
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ADAS;IAM; |
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HAC2016 |
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2864 |
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Francisco Javier Orozco; Pau Baiget; Jordi Gonzalez; Xavier Roca |
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Eyelids and Face Tracking in Real-Time |
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2006 |
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6th IASTED International Conference Visualization, Imaging, and Image Processing (VIIP´06), 165–170 |
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Palma de Mallorca (Spain) |
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ISE @ ise @ OBG2006 |
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730 |
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Author |
Onur Ferhat |
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Eye-Tracking with Webcam-Based Setups: Implementation of a Real-Time System and an Analysis of Factors Affecting Performance |
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2012 |
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CVC Technical Report |
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172 |
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Computer vision, eye-tracking, gaussian process, feature selection, optical flow |
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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. |
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Bellaterra |
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Computer Vision Center |
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Master's thesis |
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Fernando Vilariño |
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MV |
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Admin @ si @ Fer2012; IAM @ iam @ Fer2012 |
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2165 |
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Helena Muñoz; Fernando Vilariño; Dimosthenis Karatzas |
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Eye-Movements During Information Extraction from Administrative Documents |
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2019 |
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International Conference on Document Analysis and Recognition Workshops |
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6-9 |
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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. |
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Sydney; Australia; September 2019 |
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ICDARW |
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DAG; 600.140; 600.121; 600.129;SIAI |
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Admin @ si @ MVK2019 |
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3336 |
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Fernando Vilariño; Stephan Ameling; Gerard Lacey; Stephen Patchett; Hugh Mulcahy |
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Eye Tracking Search Patterns in Expert and Trainee Colonoscopists: A Novel Method of Assessing Endoscopic Competency? |
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2009 |
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Gastrointestinal Endoscopy |
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GI |
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69 |
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5 |
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370 |
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800 |
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MV;SIAI |
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fernando @ fernando @ |
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2420 |
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