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SIBGRAPI
2006
IEEE
13 years 9 months ago
Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach
Statistical discrimination methods are suitable not only for classification but also for characterisation of differences between a reference group of patterns and the population u...
Carlos E. Thomaz, Nelson A. O. Aguiar, Sergio H. A...
SIBGRAPI
2006
IEEE
13 years 9 months ago
Estimation of Multiple Orientations and Multiple Motions in Multi-Dimensional Signals
The estimation of multiple orientations in multidimensional signals is a strongly non-linear problem to which a two-step solution is here presented. First, the problem is lineariz...
Ingo Stuke, Erhardt Barth, Cicero Mota
SIBGRAPI
2006
IEEE
13 years 9 months ago
Improved FingerCode Matching Function
FingerCode is a fingerprint correlation matching scheme that relies on texture information. In this scheme, the oriented components are extracted from a fingerprint image using a ...
Gustavo de Sa, Roberto de Alencar Lotufo
SIBGRAPI
2006
IEEE
13 years 9 months ago
Plausible Image Based Soft Shadows Using Occlusion Textures
This paper presents a novel image-based approach to render plausible soft shadows for complex dynamic scenes with rectangular light sources. The algorithm's performance is mo...
Elmar Eisemann, Xavier Décoret
SIBGRAPI
2006
IEEE
13 years 9 months ago
A Statistical Discriminant Model for Face Interpretation and Reconstruction
Multivariate statistical approaches have played an important role of recognising face images and characterizing their differences. In this paper, we introduce the idea of using a ...
Edson C. Kitani, Carlos E. Thomaz, Duncan Fyfe Gil...
SIBGRAPI
2006
IEEE
13 years 9 months ago
Euclidean homotopic skeleton based on critical kernels
Michel Couprie, André Vital Saúde, G...
SIBGRAPI
2006
IEEE
13 years 9 months ago
Actively Illuminated Objects using Graph-Cuts
This paper addresses the problem of foreground extraction using active illumination and graph-cut optimization. Our approach starts by detecting image regions that are likely to b...
Asla Medeiros Sá, Marcelo Bernardes Vieira,...