<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In the information era, the technology of biological character recognition has attracted more and more attentions. In this paper, by investigating theories of active appearance model and inverse compositional image alignment algorithm, we mainly proposed a semi-active appearance model for face alignment based on improving the classical models in the aspects of computation complexity, easily suffering from light, angle and expression, and so on. Firstly, the model of active appearance and the algorithm of alignment are investigated. For the inefficiency of classic gradient descent method in the matching process, the inverse compositional image alignment algorithm is proposed. Then, through combining the active appearance model and Grey Level Co-occurrence Matrix, a novel semiactive appearance model is proposed, which has a simple calculation and higher accuracy of face alignment. Finally, experiments were designed to demonstrate the effectiveness of the proposed algorithms.</p>
</abstract>

In the information era, the technology of biological character recognition has attracted more and more attentions. In this paper, by investigating theories of active appearance model and inverse compositional image alignment algorithm, we mainly proposed a semi-active appearance model for face alignment based on improving the classical models in the aspects of computation complexity, easily suffering from light, angle and expression, and so on. Firstly, the model of active appearance and the algorithm of alignment are investigated. For the inefficiency of classic gradient descent method in the matching process, the inverse compositional image alignment algorithm is proposed. Then, through combining the active appearance model and Grey Level Co-occurrence Matrix, a novel semiactive appearance model is proposed, which has a simple calculation and higher accuracy of face alignment. Finally, experiments were designed to demonstrate the effectiveness of the proposed algorithms.

Face Alignment Based On Semi-Active Appearance Mode

Southwest University of Science and Technology

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Face Alignment Based On Semi-Active Appearance Mode"}

In the information era, the technology of biological character recognition has attracted more and more attentions. In this paper, by investigating theories of...

Face Alignment Based On Semi-Active Appearance Mode

Data publikacji: 01 gru 2014

Zakres stron: 1493 - 1515

Otrzymano: 03 lip 2014

Przyjęty: 15 paź 2014

DOI: https://doi.org/10.21307/ijssis-2017-717

Słowa kluczowe
face alignment, active appearance model, inverse compositional alignment, grey level cooccurrence matrix

© 2014 Shiliang Yan published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Face Alignment Based On Semi-Active Appearance Mode

Data publikacji: 01 gru 2014

Zakres stron: 1493 - 1515

Otrzymano: 03 lip 2014

Przyjęty: 15 paź 2014

DOI: https://doi.org/10.21307/ijssis-2017-717

Słowa kluczoweface alignment, active appearance model, inverse compositional alignment, grey level cooccurrence matrix

© 2014 Shiliang Yan published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
face alignment, active appearance model, inverse compositional alignment, grey level cooccurrence matrix