2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA), 2012
ABSTRACT The development of a fully automatic facial expression recognition system is an open pro... more ABSTRACT The development of a fully automatic facial expression recognition system is an open problem. Its implications are very important, with applications ranging from machine intelligence and interaction to psychology research. In order to obtain a viable system, it is necessary to get valid parameters to characterize the facial expression in an image or a video sequence. Several different techniques have been implemented, using global-based, local-based and hybrid methods. In our work we developed a new algorithm based on POEM algorithms. We tested the performance using the Cohn-Kanade database and we compared the results with algorithms using geometric features and regular LBP patterns. Additionally, since the parameters have high linear and non-linear dependence they don't have an homogeneous statistic importance as descriptors, so we performed data mining processing. Our results show that POEM-based algorithms have high performance and low cost, even with low resolution images, outperforming most of traditional state of the art works. Preliminary tests also show the viability of using meta classifiers in order to further improve the performance.
2014 Ieee International Conference on Image Processing, Oct 1, 2014
ABSTRACT Coded Aperture Snapshot Spectral Imaging (CASSI) systems capture the spatial and spectra... more ABSTRACT Coded Aperture Snapshot Spectral Imaging (CASSI) systems capture the spatial and spectral information of a scene by measuring 2D coded projections on a focal plane array (FPA). Compressed sensing reconstruction algorithms are then used to recover the underlying spectral data cube. The quality of the reconstructions in CASSI is determined by the design of a set of block-unblock coded apertures. In this work, the block-unblock coded apertures in CASSI are replaced by colored coded apertures. The Restricted Isometry Property (RIP) of the colored CASSI is developed and the structure of the colored coded apertures is designed such that the RIP is better satisfied. Simulations show significant gain in the quality of reconstructions for the optimized colored coded apertures over that attained by traditional block-unblock coded apertures.
2014 IEEE International Conference on Image Processing (ICIP), 2014
ABSTRACT Coded Aperture Snapshot Spectral Imaging (CASSI) systems capture the spatial and spectra... more ABSTRACT Coded Aperture Snapshot Spectral Imaging (CASSI) systems capture the spatial and spectral information of a scene by measuring 2D coded projections on a focal plane array (FPA). Compressed sensing reconstruction algorithms are then used to recover the underlying spectral data cube. The quality of the reconstructions in CASSI is determined by the design of a set of block-unblock coded apertures. In this work, the block-unblock coded apertures in CASSI are replaced by colored coded apertures. The Restricted Isometry Property (RIP) of the colored CASSI is developed and the structure of the colored coded apertures is designed such that the RIP is better satisfied. Simulations show significant gain in the quality of reconstructions for the optimized colored coded apertures over that attained by traditional block-unblock coded apertures.
A radio propagation model for microcellular environments is presented. The model foundation is th... more A radio propagation model for microcellular environments is presented. The model foundation is the creation of many different virtual sources, for that reason a technique for limiting the number of sources created without loss accuracy is proposed. The main purpose of this model is achieve an easy and reliable algorithm implementation, then the assignment of a radiation pattern; using ray-tracing, radiative energy transfer (RET) theory or uniform diffraction theory (UTD) depending on the phenomenon; as a source's property is shown. Additionally the path loss prediction is improved regarding ground reflection and including the attenuation effects of crossing trees and buildings. This model would play a key role in planning UHF wireless networks that is the case of future implementation of IMT- Advanced because it computes the essential large scale parameters and regard some shadow fading components.
2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA), 2012
ABSTRACT The development of a fully automatic facial expression recognition system is an open pro... more ABSTRACT The development of a fully automatic facial expression recognition system is an open problem. Its implications are very important, with applications ranging from machine intelligence and interaction to psychology research. In order to obtain a viable system, it is necessary to get valid parameters to characterize the facial expression in an image or a video sequence. Several different techniques have been implemented, using global-based, local-based and hybrid methods. In our work we developed a new algorithm based on POEM algorithms. We tested the performance using the Cohn-Kanade database and we compared the results with algorithms using geometric features and regular LBP patterns. Additionally, since the parameters have high linear and non-linear dependence they don't have an homogeneous statistic importance as descriptors, so we performed data mining processing. Our results show that POEM-based algorithms have high performance and low cost, even with low resolution images, outperforming most of traditional state of the art works. Preliminary tests also show the viability of using meta classifiers in order to further improve the performance.
2014 Ieee International Conference on Image Processing, Oct 1, 2014
ABSTRACT Coded Aperture Snapshot Spectral Imaging (CASSI) systems capture the spatial and spectra... more ABSTRACT Coded Aperture Snapshot Spectral Imaging (CASSI) systems capture the spatial and spectral information of a scene by measuring 2D coded projections on a focal plane array (FPA). Compressed sensing reconstruction algorithms are then used to recover the underlying spectral data cube. The quality of the reconstructions in CASSI is determined by the design of a set of block-unblock coded apertures. In this work, the block-unblock coded apertures in CASSI are replaced by colored coded apertures. The Restricted Isometry Property (RIP) of the colored CASSI is developed and the structure of the colored coded apertures is designed such that the RIP is better satisfied. Simulations show significant gain in the quality of reconstructions for the optimized colored coded apertures over that attained by traditional block-unblock coded apertures.
2014 IEEE International Conference on Image Processing (ICIP), 2014
ABSTRACT Coded Aperture Snapshot Spectral Imaging (CASSI) systems capture the spatial and spectra... more ABSTRACT Coded Aperture Snapshot Spectral Imaging (CASSI) systems capture the spatial and spectral information of a scene by measuring 2D coded projections on a focal plane array (FPA). Compressed sensing reconstruction algorithms are then used to recover the underlying spectral data cube. The quality of the reconstructions in CASSI is determined by the design of a set of block-unblock coded apertures. In this work, the block-unblock coded apertures in CASSI are replaced by colored coded apertures. The Restricted Isometry Property (RIP) of the colored CASSI is developed and the structure of the colored coded apertures is designed such that the RIP is better satisfied. Simulations show significant gain in the quality of reconstructions for the optimized colored coded apertures over that attained by traditional block-unblock coded apertures.
A radio propagation model for microcellular environments is presented. The model foundation is th... more A radio propagation model for microcellular environments is presented. The model foundation is the creation of many different virtual sources, for that reason a technique for limiting the number of sources created without loss accuracy is proposed. The main purpose of this model is achieve an easy and reliable algorithm implementation, then the assignment of a radiation pattern; using ray-tracing, radiative energy transfer (RET) theory or uniform diffraction theory (UTD) depending on the phenomenon; as a source's property is shown. Additionally the path loss prediction is improved regarding ground reflection and including the attenuation effects of crossing trees and buildings. This model would play a key role in planning UHF wireless networks that is the case of future implementation of IMT- Advanced because it computes the essential large scale parameters and regard some shadow fading components.
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