A data-fusion approach to motion-stereo

被引：0
|
作者：
Malapelle, Francesco [1 ]
Fusiello, Andrea [1 ]
Rossi, Beatrice [2 ]
Fragneto, Pasqualina [2 ]
机构：
[1] Univ Udine, Dipartimento Ingn Elettr Gest & Meccan, Via Sci 208, I-33100 Udine, Italy
[2] STMicroelectronics, AST Lab, Via Camillo Olivetti 2, Agrate Brianza, MB, Italy
来源：
SIGNAL PROCESSING-IMAGE COMMUNICATION | 2016年 / 43卷
关键词：
Motion-stereo; Temporal-stereo; Dynamic-stereo; Data fusion; Kalman filter; Parallax; DEPTH;
D O I：
10.1016/j.image.2016.02.003
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper introduces a novel method for performing motion-stereo, based on dynamic integration of depth (or its proxy) measures obtained by pairwise stereo matching of video frames. The focus is on the data fusion issue raised by the motion-stereo approach, which is solved within a Kalman filtering framework. Integration occurs along the temporal and spatial dimension, so that the final measure for a pixel results from the combination of measures of the same pixel in time and whose of its neighbors. The method has been validated on both synthetic and natural images, using the simplest stereo matching strategy and a range of different confidence measures, and has been compared to baseline and optimal strategies. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码：42 / 53
页数：12
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