Francisco J. Galdames

According to our database, Francisco J. Galdames authored at least 8 papers between 2005 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Trademark Image Retrieval Using a Combination of Deep Convolutional Neural Networks.

Claudio A. Perez, Pablo A. Estévez, Francisco J. Galdames, Daniel A. Schulz, Juan P. Perez, Diego Bastias, Daniel R. Vilar

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2015

Face recognition under pose variation with local Gabor features enhanced by Active Shape and Statistical Models.

Leonardo A. Cament, Francisco J. Galdames, Kevin W. Bowyer, Claudio A. Perez

Pattern Recognit., 2015

Face recognition under pose variation with active shape model to adjust Gabor filter kernels and to correct feature extraction location.

Leonardo A. Cament, Francisco J. Galdames, Kevin W. Bowyer, Claudio A. Perez

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2014

Fusion of local normalization and Gabor entropy weighted features for face identification.

Leonardo A. Cament, Luis E. Castillo, Juan P. Perez, Francisco J. Galdames, Claudio A. Perez

Pattern Recognit., 2014

2012

From Triangulation to Simplex Mesh and Vice-versa - A Simple and Efficient Conversion.

Francisco J. Galdames, Fabrice Jaillet

Proceedings of the GRAPP & IVAPP 2012: Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications, 2012

2011

Registration of renal SPECT and 2.5D US images.

Francisco J. Galdames, Claudio A. Perez, Pablo A. Estévez, Claudio M. Held, Fabrice Jaillet, Gabriel Lobo, Gilda Donoso, Claudia Coll

Comput. Medical Imaging Graph., 2011

2007

Real-Time SPECT and 2D Ultrasound Image Registration.

Marek Bucki, Fabrice Chassat, Francisco J. Galdames, Takeshi Asahi, Daniel Pizarro, Gabriel Lobo

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

2005

Linear versus nonlinear neural modeling for 2-D pattern recognition.

Claudio A. Perez, Guillermo D. Gonzalez, Leonel E. Medina, Francisco J. Galdames

IEEE Trans. Syst. Man Cybern. Part A, 2005