3-D SCENE RECONSTRUCTION FROM NOISY IMAGE SEQUENCES USING DATA FUSION

被引:0
|
作者
HONG, L [1 ]
BRZAKOVIC, D [1 ]
机构
[1] UNIV TENNESSEE, DEPT ELECT ENGN, KNOXVILLE, TN 37996 USA
关键词
DATA FUSION; KALMAN FILTERING; 3-D SCENE RECONSTRUCTION; IMAGE PROCESSING; STEREO VISION; STRUCTURE FROM MOTION;
D O I
10.1016/0967-0661(94)90347-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The system reconstructs 3-D scenes from sequences of noisy binocular images. First, the system establishes possible matches between the feature pixels in the first image pair and assigns a confidence value to a possible match. Each possible match is associated with a 3-D volume. The possible matches are used to predict projections of associated 3-D volumes onto the remaining image pairs. The new matches are used to update confidence values using a Kalman filtering related fusion algorithm. Finally, matched pixels with high confidence values are used to reconstruct a 3-D scene.
引用
收藏
页码:825 / 831
页数:7
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