Spatial-Temporal Junction Extraction and Semantic Interpretation

被引:0
|
作者
Simonsen, Kasper Broegaard [1 ,2 ]
Nielsen, Mads Thorsted [2 ]
Pilz, Florian [1 ]
Kruger, Norbert [2 ]
Pugeault, Nicolas [3 ]
机构
[1] Aalborg Univ, Dept Media Technol, Copenhagen, Denmark
[2] Univ So Denmark, Maersk Mc-Kinney Moller Inst, Cognitive Vision Lab, Odense, Denmark
[3] Univ Surrey, Ctr Vision Speech & Signal Proc, Guildford GU2 5XH, Surrey, England
来源
ADVANCES IN VISUAL COMPUTING, PT 1, PROCEEDINGS | 2009年 / 5875卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article describes a novel junction descriptor that encodes junctions' semantic information in terms incoming lines' orientations, both in 2D and 3D. A Kalman filter process is used to reduce the effect of local noise on the descriptor's error and to track the features. The improvement gained by our algorithm is demonstrated quantitatively on synthetic scenes and qualitatively on real scenes.
引用
收藏
页码:275 / +
页数:3
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