Felipe Calderero Patino
Felipe Calderero Patino
Glovo
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Название
Процитировано
Процитировано
Год
Region merging techniques using information theory statistical measures
F Calderero, F Marques
IEEE transactions on Image Processing 19 (6), 1567-1586, 2010
1582010
General region merging approaches based on information theory statistical measures
F Calderero, F Marques
2008 15th IEEE International Conference on Image Processing, 3016-3019, 2008
562008
GMM-based multimodal biometric verification
Y Stylianou, Y Pantazis, F Calderero, P Larroy, F Severin, S Schimke, ...
eNTERFACE 2005 The summer Workshop on Multimodal Interfaces July 18th–August …, 2005
382005
Recovering relative depth from low-level features without explicit T-junction detection and interpretation
F Calderero, V Caselles
International Journal of Computer Vision, 2013
292013
Hierarchical fusion of color and depth information at partition level by cooperative region merging
F Calderero, F Marques
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE …, 2009
172009
Multiview depth coding based on combined color/depth segmentation
J Ruiz-Hidalgo, JR Morros, P Aflaki, F Calderero, F Marqués
Journal of visual communication and image representation 23 (1), 42-52, 2012
152012
Multiscale analysis for images on Riemannian manifolds
F Calderero, V Caselles
SIAM Journal on Imaging Sciences 7 (2), 1108-1170, 2014
102014
Multiscale analysis of similarities between images on riemannian manifolds
C Ballester, F Calderero, V Caselles, G Facciolo
Multiscale Modeling & Simulation 12 (2), 616-649, 2014
92014
Evaluation of sharpness measures and proposal of a stop criterion for reverse diffusion in the context of image deblurring
P Moreno, F Calderero
VISAPP 2013, 2013
62013
Performance evaluation of probability density estimators for unsupervised information theoretical region merging
F Calderero, F Marques, A Ortega
2009 16th IEEE International Conference on Image Processing (ICIP), 4397-4400, 2009
62009
A method to reconstruct activation wavefronts without isotropy assumptions using a level sets approach
F Calderero, A Ghodrati, DH Brooks, G Tadmor, R MacLeod
International Workshop on Functional Imaging and Modeling of the Heart, 195-204, 2005
62005
Multispectral Cooperative Partition Sequence Fusion for Joint Classification and Hierarchical Segmentation
F Calderero, F Eugenio, J Marcello, F Marques
Geoscience and Remote Sensing Letters, IEEE, 2012
42012
Region merging parameter dependency as information diversity to create sparse hierarchies of partitions
F Calderero, F Marques
2010 IEEE International Conference on Image Processing, 2237-2240, 2010
42010
Hierarchical segmentation of vegetation areas in high spatial resolution images by fusion of multispectral information
F Calderero, F Marqués, J Marcello, F Eugenio
2009 IEEE International Geoscience and Remote Sensing Symposium 4, IV-232-IV-235, 2009
42009
A level sets algorithm for the inverse problem of electrocardiography
A Ghodrati, F Calderero, DH Brooks, G Tadmor, R MacLeod
Conference Record of the Thirty-Eighth Asilomar Conference on Signals …, 2004
42004
General region merging based on first order Markov information theory statistical measures
F Calderero, F Marques
2008 16th European Signal Processing Conference, 1-5, 2008
32008
Object-based evaluation of hierarchical region-based representations based on information theory statistical measures
F Calderero, F Marques
2008 International Workshop on Content-Based Multimedia Indexing, 184-191, 2008
22008
Depth image completion using anisotropic operators
V Lazcano, F Calderero, C Ballester
International Conference on Soft Computing and Pattern Recognition, 593-604, 2020
12020
Analysis of urban and vegetation growing in NW Senegal during the last 25 years using medium resolution imagery
J Marcello, F Calderero, F Eugenio, F Marqués
2014 IEEE Geoscience and Remote Sensing Symposium, 2197-2200, 2014
12014
Image Analysis and Understanding Based on Information Theoretical Region Merging Approaches for Segmentation and Cooperative Fusion
F Calderero, F Marques
Handbook of Research on Computational Intelligence for Engineering, Science …, 2012
12012
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