Computational Imaging & VisAnalysis

#194: External lab: J. C. Moreno, V. B. S. Prasath, G. Santos, and H. Proenca

Robust periocular recognition by fusing sparse representations of color and geometry information

Journal of Signal Processing Systems, 2015

periocular, biometrics, decomposition

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Surya:Perio-Sparse-JSPS-2015,
  author = "J. C. Moreno and V. B. S. Prasath and G. Santos and H. Proenca",
  title = "Robust periocular recognition by fusing sparse representations of color and geometry information",
  year = 2015,
  journal = "Journal of Signal Processing Systems",
  month = "Jul",
  keywords = "periocular, biometrics, decomposition",
  doi = "10.1007/s11265-015-1023-3",
  url = "http://link.springer.com/article/10.1007%2Fs11265-015-1023-3"
}

J. C. Moreno, V. B. S. Prasath, G. Santos, and H. Proenca. Robust periocular recognition by fusing sparse representations of color and geometry information. Journal of Signal Processing Systems, July 2015.

#207: External lab: J. C. Moreno, V. B. S. Prasath, and J. C. Neves

Color image processing by vectorial total variation with gradient channels coupling

Inverse Problems and Imaging, 2015

restoration, total variation, color image processing

Abstract, Bibtex, PlainText, Google Scholar

@article{PrasathIPI15,
  author = "J. C. Moreno and V. B. S. Prasath and J. C. Neves",
  title = "Color image processing by vectorial total variation with gradient channels coupling",
  year = 2015,
  journal = "Inverse Problems and Imaging",
  keywords = "restoration, total variation, color image processing"
}

J. C. Moreno, V. B. S. Prasath, and J. C. Neves. Color image processing by vectorial total variation with gradient channels coupling. Inverse Problems and Imaging, 2015.

#187: J. C. Moreno, V. B. S. Prasath, H. Proenca, and K. Palaniappan

Fast and globally convex multiphase active contours for brain MRI segmentation

Computer Vision and Image Understanding, Volume 125, pgs. 237-250, 2014

segmentation, active contours, globally convex, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Juan:BrainMRI-Segmentation-CVIU-2014,
  author = "J. C. Moreno and V. B. S. Prasath and H. Proenca and K. Palaniappan",
  title = "Fast and globally convex multiphase active contours for brain MRI segmentation",
  year = 2014,
  journal = "Computer Vision and Image Understanding",
  volume = 125,
  pages = "237-250",
  month = "Aug",
  keywords = "segmentation, active contours, globally convex, biomedical",
  doi = "10.1016/j.cviu.2014.04.010",
  url = "http://cell.missouri.edu/pages/BrainMRISegmentation/"
}

J. C. Moreno, V. B. S. Prasath, H. Proenca, and K. Palaniappan. Fast and globally convex multiphase active contours for brain MRI segmentation. Computer Vision and Image Understanding, volume 125, pages 237-250, August 2014.

#174: External lab: V. B. S. Prasath and J. C. Moreno

Feature preserving anisotropic diffusion for image restoration

Proc. IEEE National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), pgs. 1-4, 2013

restoration, anisotropic diffusion

Abstract, Bibtex, PlainText, DOI, Google Scholar

@inproceedings{Surya:feature-restoration-NCVPRIPG-2013,
  author = "V. B. S. Prasath and J. C. Moreno",
  title = "Feature preserving anisotropic diffusion for image restoration",
  year = 2013,
  journal = "Proc. IEEE National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)",
  pages = "1-4",
  month = "Dec",
  keywords = "restoration, anisotropic diffusion",
  doi = "10.1109/NCVPRIPG.2013.6776250"
}

V. B. S. Prasath and J. C. Moreno. Feature preserving anisotropic diffusion for image restoration. Proc. IEEE National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), pages 1-4, December 2013.

#165: External lab: J. C. Moreno, V. B. S. Prasath, and H. Proenca

Robust periocular recognition by fusing local to holistic sparse representations

6th International Conference on Security of Information and Networks (SIN), pgs. 160-164, 2013

periocular, recognition, sparse

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Surya:Sparse-Periocular-SIN-2013,
  author = "J. C. Moreno and V. B. S. Prasath and H. Proenca",
  title = "Robust periocular recognition by fusing local to holistic sparse representations",
  year = 2013,
  booktitle = "6th International Conference on Security of Information and Networks (SIN)",
  pages = "160-164",
  month = "Dec",
  keywords = "periocular, recognition, sparse",
  doi = "10.1145/2523514.2523540"
}

J. C. Moreno, V. B. S. Prasath, and H. Proenca. Robust periocular recognition by fusing local to holistic sparse representations. 6th International Conference on Security of Information and Networks (SIN), pages 160-164, December 2013.

#163: External lab: I. N. Figueiredo, J. C. Moreno, V. B. S. Prasath, and P. N. Figueiredo

A segmentation model and application to endoscopic images

Proc. International Conference on Image Analysis and Recognition (ICIAR), Springer LNCS 7325, pgs. 164-171, 2012

segmentation, active contours, biomedical, endoscopy

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Surya:CryptFoci_Segmentation_ICIAR_2012,
  author = "I. N. Figueiredo and J. C. Moreno and V. B. S. Prasath and P. N. Figueiredo",
  title = "A segmentation model and application to endoscopic images",
  year = 2012,
  booktitle = "Proc. International Conference on Image Analysis and Recognition (ICIAR)",
  publisher = "Springer LNCS 7325",
  pages = "164-171",
  month = "Jun",
  keywords = "segmentation, active contours, biomedical, endoscopy",
  doi = "10.1007/978-3-642-31298-4_20"
}

I. N. Figueiredo, J. C. Moreno, V. B. S. Prasath, and P. N. Figueiredo. A segmentation model and application to endoscopic images. Proc. International Conference on Image Analysis and Recognition (ICIAR), Springer LNCS 7325, pages 164-171, June 2012.

#142: External lab: I. N. Figueiredo, J. C. Moreno, and V. B. S. Prasath

Texture image segmentation with smooth gradients and local information

Proc. Computational Modeling of Objects Presented in Images: Fundamentals, Methods and Applications (CompIMAGE), pgs. 115-119, 2012

segmentation, active contours, texture, globally convex