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» Toward Objective Evaluation of Image Segmentation Algorithms
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CVPR
2011
IEEE
15 years 5 days ago
Unsupervised Local Color Correction for Coarsely Registered Images
The current paper proposes a new parametric local color correction technique. Initially, several color transfer functions are computed from the output of the mean shift color se...
Miguel Oliveira, Angel D. Sappa, Vitor Santos
ICRA
2009
IEEE
248views Robotics» more  ICRA 2009»
15 years 10 months ago
Comparison of surface normal estimation methods for range sensing applications
— As mobile robotics is gradually moving towards a level of semantic environment understanding, robust 3D object recognition plays an increasingly important role. One of the most...
Klaas Klasing, Daniel Althoff, Dirk Wollherr, Mart...
PAMI
2007
202views more  PAMI 2007»
15 years 3 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ICIP
2008
IEEE
16 years 5 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram
IVC
2007
188views more  IVC 2007»
15 years 3 months ago
Integration of deformable contours and a multiple hypotheses Fisher color model for robust tracking in varying illuminant enviro
In this paper, we propose a new technique to perform figure-ground segmentation in image sequences of moving objects under varying illumination conditions. Unlike most of the alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...