Segmentation with depth but without detecting junctions

被引:52
作者
Esedoglu, S
March, R
机构
[1] Univ Minnesota, Inst Math & Applicat, Minneapolis, MN 55455 USA
[2] CNR, Ist Applicat Calcolo, I-00161 Rome, Italy
关键词
segmentation with depth; 2.1D sketch; disocclusion; variational methods; functionals with curvature; gamma convergence; nonlinear PDEs;
D O I
10.1023/A:1021837026373
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Given an image that depicts a scene with several objects in it, the goal of segmentation with depth is to automatically infer the shapes of the objects and the occlusion relations between them. Nitzberg, Mumford and Shiota formulated a variational approach to this problem: in their model, the solution is obtained as the minimizer of an energy. We describe a new technique of minimizing their energy that avoids explicit detection/connection of T-junctions.
引用
收藏
页码:7 / 15
页数:9
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