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» Computing Robustness and Persistence for Images
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SIBGRAPI
2008
IEEE
15 years 4 months ago
Benchmark for Quantitative Evaluation of Assisted Object Segmentation Methods to Image Sequences
Evaluation of segmentation methods applied to image sequences consists in the analysis of such methods according to quantitative and/or qualitative criteria, usually driven to som...
Franklin César Flores, Roberto de Alencar L...
ECCV
2004
Springer
15 years 3 months ago
Robust Fitting by Adaptive-Scale Residual Consensus
Computer vision tasks often require the robust fit of a model to some data. In a robust fit, two major steps should be taken: i) robustly estimate the parameters of a model, and ii...
Hanzi Wang, David Suter
SI3D
2009
ACM
15 years 4 months ago
Soft irregular shadow mapping: fast, high-quality, and robust soft shadows
We introduce a straightforward, robust, and efficient algorithm for rendering high-quality soft shadows in dynamic scenes. Each frame, points in the scene visible from the eye ar...
Gregory S. Johnson, Warren A. Hunt, Allen Hux, Wil...
ICCV
2003
IEEE
15 years 3 months ago
Variable Bandwidth QMDPE and Its Application in Robust Optical Flow Estimation
Robust estimators, such as Least Median of Squared (LMedS) Residuals, M-estimators, the Least Trimmed Squares (LTS) etc., have been employed to estimate optical flow from image se...
Hanzi Wang, David Suter
ECCV
2008
Springer
15 years 11 months ago
A Generative Shape Regularization Model for Robust Face Alignment
In this paper, we present a robust face alignment system that is capable of dealing with exaggerating expressions, large occlusions, and a wide variety of image noises. The robustn...
Leon Gu, Takeo Kanade