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» Application of Level Set Methods in Computer Vision
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CVPR
2007
IEEE
14 years 9 months ago
Compositional Boosting for Computing Hierarchical Image Structures
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
Tianfu Wu, Gui-Song Xia, Song Chun Zhu
ICPR
2008
IEEE
14 years 2 months ago
RANSAC-SVM for large-scale datasets
Support Vector Machines (SVMs), though accurate, are still difficult to solve large-scale applications, due to the computational and storage requirement. To relieve this problem,...
Kenji Watanabe, Takio Kurita
ICPR
2010
IEEE
13 years 6 months ago
3D Vertebrae Segmentation in CT Images with Random Noises
Exposure levels (X-ray tube amperage and peak kilovoltage) are associated with various noise levels and radiation dose. When higher exposure levels are applied, the images have hi...
Melih Seref Aslan
CVPR
2010
IEEE
2248views Computer Vision» more  CVPR 2010»
14 years 3 months ago
Morphological Snakes
We introduce a morphological approach to curve evolution. The differential operators used in the standard PDE snake models can be approached using morphological operations...
Luis Álvarez, Luis Baumela, Pedro Henríquez, Pab...
ICPR
2002
IEEE
14 years 8 months ago
Registration for Stereo Vision-Based Augmented Reality Based on Extendible Tracking of Markers and Natural Features
This paper describes a method to extend the registration range of a vision-based augmented reality (AR) system. We propose to use natural feature points contained in images captur...
Masayuki Kanbara, Naokazu Yokoya, Haruo Takemura