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CVPR
2009
IEEE
2160views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Image Deblurring and Denoising using Color Priors
Image blur and noise are difficult to avoid in many situations and can often ruin a photograph. We present a novel image deconvolution algorithm that deblurs and denoises an ima...
C. Lawrence Zitnick, David J. Kriegman, Neel Joshi...
PAMI
2010
205views more  PAMI 2010»
15 years 4 months ago
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Long Zhu, Yuanhao Chen, Alan L. Yuille
IJCV
2008
223views more  IJCV 2008»
15 years 6 months ago
Robust Object Detection with Interleaved Categorization and Segmentation
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...
Bastian Leibe, Ales Leonardis, Bernt Schiele
ACIVS
2009
Springer
15 years 11 months ago
Self-assessed Contrast-Maximizing Adaptive Region Growing
In the context of an experimental virtual-reality surgical planning software platform, we propose a fully self-assessed adaptive region growing segmentation algorithm. Our method s...
Carlos S. Mendoza, Begoña Acha, Carmen Serr...
ICPR
2008
IEEE
16 years 7 months ago
Evolving boundary detectors for natural images via Genetic Programming
Boundary detection constitutes a crucial step in many computer vision tasks. We present a novel learning approach to automatically construct a boundary detector for natural images...
Ilan Kadar, Moshe Sipper, Ohad Ben-Shahar