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Rodrigo Minetto
2010 – today
- 2013
[j2]Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi: T-HOG: An effective gradient-based descriptor for single line text regions. Pattern Recognition 46(3): 1078-1090 (2013)- 2012
[j1]Rodrigo Minetto, Thiago Vallin Spina, Alexandre X. Falcão, Neucimar Jerônimo Leite, João Paulo Papa, Jorge Stolfi: IFTrace: Video segmentation of deformable objects using the Image Foresting Transform. Computer Vision and Image Understanding 116(2): 274-291 (2012)- 2011
[c8]Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Jorge Stolfi, Frédéric Precioso, Jonathan Guyomard, Neucimar J. Leite: Text detection and recognition in urban scenes. ICCV Workshops 2011: 227-234
[c7]Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi: Snoopertrack: Text detection and tracking for outdoor videos. ICIP 2011: 505-508- 2010
[c6]Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Jonathan Fabrizio, Beatriz Marcotegui: Snoopertext: A multiresolution system for text detection in complex visual scenes. ICIP 2010: 3861-3864
2000 – 2009
- 2009
[c5]Rodrigo Minetto, Neucimar Jerônimo Leite, Jorge Stolfi: AffTrack: Robust tracking of features in variable-zoom videos. ICIP 2009: 4285-4288
[c4]Jurandy Almeida, Rodrigo Minetto, Tiago A. Almeida, Ricardo da Silva Torres, Neucimar Jerônimo Leite: Robust Estimation of Camera Motion Using Optical Flow Models. ISVC (1) 2009: 435-446- 2008
[c3]Ricardo Dutra da Silva, Rodrigo Minetto, William Robson Schwartz, Hélio Pedrini: Satellite Image Segmentation Using Wavelet Transforms Based on Color and Texture Features. ISVC (2) 2008: 113-122- 2007
[c2]Leyza Baldo Dorini, Rodrigo Minetto, Neucimar Jerônimo Leite: White blood cell segmentation using morphological operators and scale-space analysis. SIBGRAPI 2007: 294-304
[c1]Rodrigo Minetto, Neucimar Jerônimo Leite, Jorge Stolfi: Reliable detection of camera motion based on weighted optical flow fitting. VISAPP (2) 2007: 435-440
Coauthor Index
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last updated on 2013-03-01 20:58 CET by the dblp team



