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Content Provider | IEEE Xplore Digital Library |
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Author | Benmansour, F. Bonneau, S. Cohen, L.D. |
Copyright Year | 2007 |
Description | Author affiliation: Univ. Paris Dauphine, Paris (Benmansour, F.; Bonneau, S.; Cohen, L.D.) |
Abstract | In this paper, we present a new method for segmenting closed contours and surfaces. Our work builds on a variant of the Fast Marching algorithm. First, an initial point on the desired contour is chosen by the user. Next, new keypoints are detected automatically using a front propagation approach. We assume that the desired object has a closed boundary. This a-priori knowledge on the topology is used to devise a relevant criterion for stopping the keypoint detection and front propagation. The final domain visited by the front will yield a band surrounding the object of interest. Linking pairs of neighboring keypoints with minimal paths allows us to extract a closed contour from a 2D image. Detection of a variety of objects on real images is demonstrated. Using a similar same idea, we can extract networks of minimal paths from a 3D image called Geodesic Meshing. The proposed method is applied to 3D data with promising results. |
Starting Page | 1 |
Ending Page | 8 |
File Size | 1865860 |
Page Count | 8 |
File Format | |
ISBN | 9781424416301 |
ISSN | 15505499 |
DOI | 10.1109/ICCV.2007.4409156 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-10-14 |
Publisher Place | Brazil |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Active contours Image segmentation Topology Data mining Deformable models Joining processes Object detection Costs Equations Image processing |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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