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» Object Recognition Using Segmentation for Feature Detection
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127
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MICCAI
2003
Springer
16 years 3 months ago
Segmenting 3D Branching Tubular Structures Using Cores
Blood vessels and other anatomic objects in the human body can be described as trees of branching tubes. The focus of this paper is the extraction of the branching geometry in 3D, ...
Yonatan Fridman, Stephen M. Pizer, Stephen R. Aylw...
125
Voted
PAMI
2007
156views more  PAMI 2007»
15 years 2 months ago
Selection and Fusion of Color Models for Image Feature Detection
—The choice of a color model is of great importance for many computer vision algorithms (e.g., feature detection, object recognition, and tracking) as the chosen color model indu...
Harro M. G. Stokman, Theo Gevers
141
Voted
IJCV
2007
189views more  IJCV 2007»
15 years 2 months ago
Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion
Challenging object detection and segmentation tasks can be facilitated by the availability of a reference object. However, accounting for possible transformations between the diff...
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
128
Voted
MVA
1990
131views Computer Vision» more  MVA 1990»
15 years 3 months ago
Recognition and Relocation of 3-Dimensional Objects Using Stereo Robot Vision System
An important task in sterco robot vision is to determine the three-dimcnsional locations of objects. The real location of an object is determined from the disparity of matched pin...
Kyoung Mihn Do, Chee-Woo Kang, Kwae-Hi Lee
CVPR
2005
IEEE
16 years 4 months ago
Selection and Fusion of Color Models for Feature Detection
The choice of a color space is of great importance for many computer vision algorithms (e.g. edge detection and object recognition). It induces the equivalence classes to the actu...
Harro M. G. Stokman, Theo Gevers