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Analysis of institutional authors

Baumela, LuisCorresponding Author

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June 9, 2019
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Efficient illumination independent appearance-based face tracking

Publicated to: IMAGE AND VISION COMPUTING. 27 (5): 560-578 - 2009-04-02 27(5), DOI: 10.1016/j.imavis.2008.04.015

Authors:

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

Univ Politecn Madrid, Fac Informat, Dept Inteligencia Artificial, E-28040 Madrid, Spain - Author

Abstract

One of the major challenges that visual tracking algorithms face nowadays is being able to cope with changes in the appearance of the target during tracking. Linear subspace models have been extensively studied and are possibly the most popular way of modelling target appearance. We introduce a linear subspace representation in which the appearance of a face is represented by the addition of two approximately independent linear subspaces modelling facial expressions and illumination, respectively. This model is more compact than previous bilinear or multilinear approaches. The independence assumption notably simplifies system training. We only require two image sequences. One facial expression is subject to all possible illuminations in one sequence and the face adopts all facial expressions under one particular illumination in the other. This simple model enables us to train the system with no manual intervention. We also revisit the problem of efficiently fitting a linear subspace-based model to a target image and introduce an additive procedure for solving this problem. We prove that Matthews and Baker's inverse compositional approach makes a smoothness assumption on the subspace basis that is equivalent to Hager and Belhumeur's, which worsens convergence. Our approach differs from Hager and Belhumeur's additive and Matthews and Baker's compositional approaches in that we make no smoothness assumptions on the subspace basis. In the experiments conducted we show that the model introduced accurately represents the appearance variations caused by illumination changes and facial expressions. We also verify experimentally that our fitting Procedure is more accurate and has better convergence rate than the other related approaches, albeit at the expense of a slight increase in computational cost. Our approach can be used for tracking a human face at standard video frame rates on an average personal computer. (C) 2008 Elsevier B.V. All rights reserved.
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Keywords

ConstructionEfficient linear subspace model fittingFacial expression analysisIllumination invarianceImageLinear models of appearanceModelsMotionRecognitionVisual tracking

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal IMAGE AND VISION COMPUTING 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, 2009, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Vision and Pattern Recognition. Notably, the journal is positioned above the 90th percentile.

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 2026-04-24:

  • WoS: 9
  • Scopus: 13
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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 2026-04-24:

  • 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: 30 (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/1861/

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: 631
  • Downloads: 470
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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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