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Analysis of institutional authors

Baumela, LuisCorresponding Author

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June 9, 2019
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Recognising facial expressions in video sequences

Publicated to: PATTERN ANALYSIS AND APPLICATIONS. 11 (1): 101-116 - 2008-01-01 11(1), DOI: 10.1007/s10044-007-0084-8

Authors:

Buenaposada, Jose M.; Munoz, Enrique; Baumela, Luis;
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Affiliations

Univ Politecn Madrid, Fac Informat, E-28660 Madrid, Spain - Author
Univ Rey Juan Carlos, ESCET, Mostoles 28933, Spain - Author

Abstract

We introduce a system that processes a sequence of images of a front-facing human face and recognises a set of facial expressions. We use an efficient appearance-based face tracker to locate the face in the image sequence and estimate the deformation of its non-rigid components. The tracker works in real time. It is robust to strong illumination changes and factors out changes in appearance caused by illumination from changes due to face deformation. We adopt a model-based approach for facial expression recognition. In our model, an image of a face is represented by a point in a deformation space. The variability of the classes of images associated with facial expressions is represented by a set of samples which model a low-dimensional manifold in the space of deformations. We introduce a probabilistic procedure based on a nearest-neighbour approach to combine the information provided by the incoming image sequence with the prior information stored in the expression manifold to compute a posterior probability associated with a facial expression. In the experiments conducted we show that this system is able to work in an unconstrained environment with strong changes in illumination and face location. It achieves an 89% recognition rate in a set of 333 sequences from the Cohn-Kanade database.
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Keywords

Active appearance modelsAutomatic-analysisClassificationFacial expression recognitionLocal binary patternsManifold of facial expressionsMotionNearest neighbourNonlinear dimensionality reductionOptical-flowReal-time faceRecognitionTracking

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal PATTERN ANALYSIS AND APPLICATIONS due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2008, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Computer Vision and Pattern Recognition. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Computer Science, Artificial Intelligence.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-25:

  • WoS: 26
  • Scopus: 56
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-25:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 67 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/1863/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 890
  • Downloads: 857
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (BAUMELA MOLINA, LUIS).

the author responsible for correspondence tasks has been BAUMELA MOLINA, LUIS.

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