Paper Info
Title
Multi-view Object Segmentation Based on Epipolar Plane Image Analysis
Abstract
In order to segment interest objects from multi-view images accurately, an epipolar plane image (EPI) analysis based object segmentation algorithm is proposed. Firstly, the straight lines in EPI are extracted by an improved Hough transform. Then, according to the depth of object, the corresponding straight lines are converted into original image space to get an initial contour. Following that, we design a boundary growing algorithm to shorten the gaps between broken edge segments. Finally, a contour linking algorithm is applied to obtain a closed segmentation curve. Experimental results show that, the proposed method can extract frontal objects from complicated scene correctly.
Year
DOI
Venue
2008
10.1109/ISCSCT.2008.82
ISCSCT (2)
Keywords
Field
DocType
epipolar plane image,boundary growing algorithm,large hospital,multi-view object segmentation,contour linking,image segmentation,high-quality patient treatment,clinical pathway,hospital stay,feature extraction,multiview object segmentation,epipolar plane image analysis,straight lines extraction,hough transform,boundary growing,contour linking algorithm,hough transforms,image processing,pixel,algorithm design and analysis
Computer vision,Scale-space segmentation,Epipolar geometry,Pattern recognition,Segmentation,Image processing,Segmentation-based object categorization,Hough transform,Feature extraction,Image segmentation,Artificial intelligence,Mathematics
Conference
Volume
ISBN
Citations 
2
978-1-4244-3746-7
0
PageRank 
References 
Authors
0.34
8
4
Name
Order
Citations
PageRank
Liangzhong Fan173.00
Xin Yu200.34
Zhenyu Shu371.55
Qiaowen Zhang411.06