José Luis Alba Castro | Universidade de Vigo (original) (raw)

Papers by José Luis Alba Castro

Research paper thumbnail of Facial Motion Analysis beyond Emotional Expressions

Sensors

Facial motion analysis is a research field with many practical applications, and has been strongl... more Facial motion analysis is a research field with many practical applications, and has been strongly developed in the last years. However, most effort has been focused on the recognition of basic facial expressions of emotion and neglects the analysis of facial motions related to non-verbal communication signals. This paper focuses on the classification of facial expressions that are of the utmost importance in sign languages (Grammatical Facial Expressions) but also present in expressive spoken language. We have collected a dataset of Spanish Sign Language sentences and extracted the intervals for three types of Grammatical Facial Expressions: negation, closed queries and open queries. A study of several deep learning models using different input features on the collected dataset (LSE_GFE) and an external dataset (BUHMAP) shows that GFEs can be learned reliably with Graph Convolutional Networks simply fed with face landmarks.

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Research paper thumbnail of LSE_UVIGO: A Multi-source Database for Spanish Sign Language Recognition

This paper presents LSE_UVIGO, a multi-source database designed to foster research on Sign Langua... more This paper presents LSE_UVIGO, a multi-source database designed to foster research on Sign Language Recognition. It is being recorded and compiled for Spanish Sign Language (LSE acronym in Spanish) and contains also spoken Galician language, so it is very well fitted to research on these languages, but also quite useful for fundamental research in any other sign language. LSE_UVIGO is composed of two datasets: LSE_Lex40_UVIGO, a multi-sensor and multi-signer dataset acquired from scratch, designed as an incremental dataset, both in complexity of the visual content and in the variety of signers. It contains static and co-articulated sign recordings, fingerspelled and gloss-based isolated words, and sentences. Its acquisition is done in a controlled lab environment in order to obtain good quality videos with sharp video frames and RGB and depth information, making them suitable to try different approaches to automatic recognition. The second subset, LSE_TVGWeather_UVIGO is being popul...

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Research paper thumbnail of CORILSE: a Spanish Sign Language Repository for Linguistic Analysis

CORILSE is a computerized corpus of Spanish Sign Language (Lengua de Signos Espanola, LSE). It co... more CORILSE is a computerized corpus of Spanish Sign Language (Lengua de Signos Espanola, LSE). It consists of a set of recordings from different discourse genres by Galician signers living in the city of Vigo. In this paper we describe its annotation system, developed on the basis of pre-existing ones (mostly the model of Auslan corpus). This includes primary annotation of id-glosses for manual signs, annotation of non-manual component, and secondary annotation of grammatical categories and relations, because this corpus is been built for grammatical analysis, in particular argument structures in LSE. Up until this moment the annotation has been basically made by hand, which is a slow and time-consuming task. The need to facilitate this process leads us to engage in the development of automatic or semi-automatic tools for manual and facial recognition. Finally, we also present the web repository that will make the corpus available to different types of users, and will allow its exploit...

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Research paper thumbnail of Untangling AdaBoost-based Cost-Sensitive Classification. Part I: Theoretical Perspective

arXiv: Computer Vision and Pattern Recognition, 2015

Boosting algorithms have been widely used to tackle a plethora of problems. In the last few years... more Boosting algorithms have been widely used to tackle a plethora of problems. In the last few years, a lot of approaches have been proposed to provide standard AdaBoost with cost-sensitive capabilities, each with a different focus. However, for the researcher, these algorithms shape a tangled set with diffuse differences and properties, lacking a unifying analysis to jointly compare, classify, evaluate and discuss those approaches on a common basis. In this series of two papers we aim to revisit the various proposals, both from theoretical (Part I) and practical (Part II) perspectives, in order to analyze their specific properties and behavior, with the final goal of identifying the algorithm providing the best and soundest results.

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Research paper thumbnail of Generalized Presentation Attack Detection: a face anti-spoofing evaluation proposal

2019 International Conference on Biometrics (ICB), 2019

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Research paper thumbnail of Estudio de bases de datos para el reconocimiento automático de lenguas de signos

Hesperia: Anuario de Filología Hispánica, 2020

Automatic sign language recognition (ASLR) is quite a complex task, not only for the difficulty o... more Automatic sign language recognition (ASLR) is quite a complex task, not only for the difficulty of dealing with very dynamic video information, but also because almost every sign language (SL) can be considered as an under-resourced language when it comes to language technology. Spanish sign language (LSE) is one of those under-resourced languages. Developing technology for SSL implies a number of technical challenges that must be tackled down in a structured and sequential manner. In this paper, some problems of machine-learning- based ASLR are addressed. A review of publicly available datasets is given and a new one is presented. It is also discussed the current annotations methods and annotation programs. In our review of existing datasets, our main conclusion is that there is a need for more with high-quality data and annotations.

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Research paper thumbnail of BMOG: boosted Gaussian Mixture Model with controlled complexity for background subtraction

Pattern Analysis and Applications, 2018

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Research paper thumbnail of The GTM-UVIGO System for Audiovisual Diarization

IberSPEECH 2018, 2018

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Research paper thumbnail of Point Distribution Models for Pose Robust Face Recognition: Advantages of Correcting Pose Parameters Over Warping Faces to Mean Shape

Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems, 2007

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Research paper thumbnail of Security issues of Internet-based biometric authentication systems: risks of Man-in-the-Middle and BioPhishing on the example of BioWebAuth

SPIE Proceedings, 2008

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Research paper thumbnail of Face Video Competition at ICB2009

Annales Des Télécommunications, 2009

Person recognition using facial features, e.g., mug-shot images, has long been used in identity d... more Person recognition using facial features, e.g., mug-shot images, has long been used in identity documents. However, due to the widespread use of web-cams and mobile devices embedded with a camera, it is now possible to realise facial video recognition, rather than resorting to just still images. In fact, facial video recognition offers many advantages over still image recognition; these include

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Research paper thumbnail of Generalized Gaussian distributions for sequential data classification

2008 19th International Conference on Pattern Recognition, 2008

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Research paper thumbnail of Blockwise Linear Regression for Face Alignment

Procedings of the British Machine Vision Conference 2013, 2013

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Research paper thumbnail of Quality-Based Score Normalization for Audiovisual Person Authentication

Lecture Notes in Computer Science

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Research paper thumbnail of Gaussian mixtures versus MLP for terrain classification in Landsat TM images

ABSTRACT

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Research paper thumbnail of Growing Gaussian mixtures network for classification applications

Signal Processing, 1999

In this paper a method to automatically generate a Gaussian mixture classifier is presented. The ... more In this paper a method to automatically generate a Gaussian mixture classifier is presented. The growing process is based on the iterative addition of Gaussian nodes. Each iteration takes place in two sequential steps: first, using the EM algorithm, we maximize the likelihood of the data under the current configuration of the classifier; then, a new Gaussian node is added

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Research paper thumbnail of 2D Face Recognition

Guide to Biometric …, 2009

An overview of selected topics in face recognition is first presented in this chapter. The BioSec... more An overview of selected topics in face recognition is first presented in this chapter. The BioSecure 2D-face Benchmarking Framework is also described, com-posed of open-source software, publicly available databases and protocols. Three methods for 2D-face ...

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Research paper thumbnail of Desarrollo de Soluciones Cliente-Servidor para la Verificación Biométrica de Identidad y Monitorización en Plataformas Web: Aplicación a Tele-enseñanza

... y en un principio exigían la necesidad de que los educadores tuvieran bastante conocimiento t... more ... y en un principio exigían la necesidad de que los educadores tuvieran bastante conocimiento técnico para su uso efectivo ... No obstante, estos problemas están en vías de solución, ya que cada vez aparecen nuevas versiones de los LMS, tanto comerciales como de software ...

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Research paper thumbnail of Biometrics for Web Authentication: an Open Source Java-Based Approach

... Automatic identity ver-ification, based on distinctive anatomical features (eg, face, voice, ... more ... Automatic identity ver-ification, based on distinctive anatomical features (eg, face, voice, fingerprint, iris, etc.) and behavioral characteristics (eg, online/offline signature, keystroke dynamics, etc), is becoming an increasingly ... Biometrics for Web Authentication: an Open ...

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Research paper thumbnail of I Intelligence Everywhere-Intelligent Techniques for Biometric Based Authentication-An Open Source Java Framework for Biometric Web Authentication Based on BioAPI

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Research paper thumbnail of Facial Motion Analysis beyond Emotional Expressions

Sensors

Facial motion analysis is a research field with many practical applications, and has been strongl... more Facial motion analysis is a research field with many practical applications, and has been strongly developed in the last years. However, most effort has been focused on the recognition of basic facial expressions of emotion and neglects the analysis of facial motions related to non-verbal communication signals. This paper focuses on the classification of facial expressions that are of the utmost importance in sign languages (Grammatical Facial Expressions) but also present in expressive spoken language. We have collected a dataset of Spanish Sign Language sentences and extracted the intervals for three types of Grammatical Facial Expressions: negation, closed queries and open queries. A study of several deep learning models using different input features on the collected dataset (LSE_GFE) and an external dataset (BUHMAP) shows that GFEs can be learned reliably with Graph Convolutional Networks simply fed with face landmarks.

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Research paper thumbnail of LSE_UVIGO: A Multi-source Database for Spanish Sign Language Recognition

This paper presents LSE_UVIGO, a multi-source database designed to foster research on Sign Langua... more This paper presents LSE_UVIGO, a multi-source database designed to foster research on Sign Language Recognition. It is being recorded and compiled for Spanish Sign Language (LSE acronym in Spanish) and contains also spoken Galician language, so it is very well fitted to research on these languages, but also quite useful for fundamental research in any other sign language. LSE_UVIGO is composed of two datasets: LSE_Lex40_UVIGO, a multi-sensor and multi-signer dataset acquired from scratch, designed as an incremental dataset, both in complexity of the visual content and in the variety of signers. It contains static and co-articulated sign recordings, fingerspelled and gloss-based isolated words, and sentences. Its acquisition is done in a controlled lab environment in order to obtain good quality videos with sharp video frames and RGB and depth information, making them suitable to try different approaches to automatic recognition. The second subset, LSE_TVGWeather_UVIGO is being popul...

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Research paper thumbnail of CORILSE: a Spanish Sign Language Repository for Linguistic Analysis

CORILSE is a computerized corpus of Spanish Sign Language (Lengua de Signos Espanola, LSE). It co... more CORILSE is a computerized corpus of Spanish Sign Language (Lengua de Signos Espanola, LSE). It consists of a set of recordings from different discourse genres by Galician signers living in the city of Vigo. In this paper we describe its annotation system, developed on the basis of pre-existing ones (mostly the model of Auslan corpus). This includes primary annotation of id-glosses for manual signs, annotation of non-manual component, and secondary annotation of grammatical categories and relations, because this corpus is been built for grammatical analysis, in particular argument structures in LSE. Up until this moment the annotation has been basically made by hand, which is a slow and time-consuming task. The need to facilitate this process leads us to engage in the development of automatic or semi-automatic tools for manual and facial recognition. Finally, we also present the web repository that will make the corpus available to different types of users, and will allow its exploit...

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Research paper thumbnail of Untangling AdaBoost-based Cost-Sensitive Classification. Part I: Theoretical Perspective

arXiv: Computer Vision and Pattern Recognition, 2015

Boosting algorithms have been widely used to tackle a plethora of problems. In the last few years... more Boosting algorithms have been widely used to tackle a plethora of problems. In the last few years, a lot of approaches have been proposed to provide standard AdaBoost with cost-sensitive capabilities, each with a different focus. However, for the researcher, these algorithms shape a tangled set with diffuse differences and properties, lacking a unifying analysis to jointly compare, classify, evaluate and discuss those approaches on a common basis. In this series of two papers we aim to revisit the various proposals, both from theoretical (Part I) and practical (Part II) perspectives, in order to analyze their specific properties and behavior, with the final goal of identifying the algorithm providing the best and soundest results.

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Research paper thumbnail of Generalized Presentation Attack Detection: a face anti-spoofing evaluation proposal

2019 International Conference on Biometrics (ICB), 2019

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Research paper thumbnail of Estudio de bases de datos para el reconocimiento automático de lenguas de signos

Hesperia: Anuario de Filología Hispánica, 2020

Automatic sign language recognition (ASLR) is quite a complex task, not only for the difficulty o... more Automatic sign language recognition (ASLR) is quite a complex task, not only for the difficulty of dealing with very dynamic video information, but also because almost every sign language (SL) can be considered as an under-resourced language when it comes to language technology. Spanish sign language (LSE) is one of those under-resourced languages. Developing technology for SSL implies a number of technical challenges that must be tackled down in a structured and sequential manner. In this paper, some problems of machine-learning- based ASLR are addressed. A review of publicly available datasets is given and a new one is presented. It is also discussed the current annotations methods and annotation programs. In our review of existing datasets, our main conclusion is that there is a need for more with high-quality data and annotations.

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Research paper thumbnail of BMOG: boosted Gaussian Mixture Model with controlled complexity for background subtraction

Pattern Analysis and Applications, 2018

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Research paper thumbnail of The GTM-UVIGO System for Audiovisual Diarization

IberSPEECH 2018, 2018

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Research paper thumbnail of Point Distribution Models for Pose Robust Face Recognition: Advantages of Correcting Pose Parameters Over Warping Faces to Mean Shape

Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems, 2007

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Research paper thumbnail of Security issues of Internet-based biometric authentication systems: risks of Man-in-the-Middle and BioPhishing on the example of BioWebAuth

SPIE Proceedings, 2008

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Research paper thumbnail of Face Video Competition at ICB2009

Annales Des Télécommunications, 2009

Person recognition using facial features, e.g., mug-shot images, has long been used in identity d... more Person recognition using facial features, e.g., mug-shot images, has long been used in identity documents. However, due to the widespread use of web-cams and mobile devices embedded with a camera, it is now possible to realise facial video recognition, rather than resorting to just still images. In fact, facial video recognition offers many advantages over still image recognition; these include

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Research paper thumbnail of Generalized Gaussian distributions for sequential data classification

2008 19th International Conference on Pattern Recognition, 2008

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Blockwise Linear Regression for Face Alignment

Procedings of the British Machine Vision Conference 2013, 2013

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Research paper thumbnail of Quality-Based Score Normalization for Audiovisual Person Authentication

Lecture Notes in Computer Science

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Research paper thumbnail of Gaussian mixtures versus MLP for terrain classification in Landsat TM images

ABSTRACT

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Research paper thumbnail of Growing Gaussian mixtures network for classification applications

Signal Processing, 1999

In this paper a method to automatically generate a Gaussian mixture classifier is presented. The ... more In this paper a method to automatically generate a Gaussian mixture classifier is presented. The growing process is based on the iterative addition of Gaussian nodes. Each iteration takes place in two sequential steps: first, using the EM algorithm, we maximize the likelihood of the data under the current configuration of the classifier; then, a new Gaussian node is added

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Research paper thumbnail of 2D Face Recognition

Guide to Biometric …, 2009

An overview of selected topics in face recognition is first presented in this chapter. The BioSec... more An overview of selected topics in face recognition is first presented in this chapter. The BioSecure 2D-face Benchmarking Framework is also described, com-posed of open-source software, publicly available databases and protocols. Three methods for 2D-face ...

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Research paper thumbnail of Desarrollo de Soluciones Cliente-Servidor para la Verificación Biométrica de Identidad y Monitorización en Plataformas Web: Aplicación a Tele-enseñanza

... y en un principio exigían la necesidad de que los educadores tuvieran bastante conocimiento t... more ... y en un principio exigían la necesidad de que los educadores tuvieran bastante conocimiento técnico para su uso efectivo ... No obstante, estos problemas están en vías de solución, ya que cada vez aparecen nuevas versiones de los LMS, tanto comerciales como de software ...

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Research paper thumbnail of Biometrics for Web Authentication: an Open Source Java-Based Approach

... Automatic identity ver-ification, based on distinctive anatomical features (eg, face, voice, ... more ... Automatic identity ver-ification, based on distinctive anatomical features (eg, face, voice, fingerprint, iris, etc.) and behavioral characteristics (eg, online/offline signature, keystroke dynamics, etc), is becoming an increasingly ... Biometrics for Web Authentication: an Open ...

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Research paper thumbnail of I Intelligence Everywhere-Intelligent Techniques for Biometric Based Authentication-An Open Source Java Framework for Biometric Web Authentication Based on BioAPI

Bookmarks Related papers MentionsView impact