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» Adaptive Feature Selection in Image Segmentation
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JCIT
2010
184views more  JCIT 2010»
13 years 2 months ago
A Cell Projection Algorithm Based on Feature Region Segmentation and Cells Sorting
Because of the complexity of the human structure, and the irregularity of the human tissues, and the discrepancy of human individuality, segmenting and rendering 3D medical data f...
Li Xinwu
TIP
2008
125views more  TIP 2008»
13 years 7 months ago
Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking
We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability....
Junqiu Wang, Yasushi Yagi
ISVC
2010
Springer
13 years 5 months ago
3D Camera Pose Estimation Using Line Correspondences and 1D Homographies
Abstract. This paper describes a new method for matching line segments between two images in order to compute the relative camera pose. This approach improves the camera pose for i...
Irene Reisner-Kollmann, Andreas Reichinger, Werner...
CVIU
2004
155views more  CVIU 2004»
13 years 7 months ago
Object of interest-based visual navigation, retrieval, and semantic content identification system
This study presents a content-based image retrieval system IMALBUM based on local region of interest called object of interest (OOI). Each segmented or user-selected OOI is indexe...
Khalid Idrissi, Guillaume Lavoué, Julien Ri...
PR
2006
77views more  PR 2006»
13 years 7 months ago
Preserving boundaries for image texture segmentation using grey level co-occurring probabilities
Texture analysis has been used extensively in the computer-assisted interpretation of digital imagery. A popular texture feature extraction approach is the grey level co-occurrenc...
Rishi Jobanputra, David A. Clausi