计算机工程2018，Vol.44Issue(1)：238-246,9.DOI:10.3969/j.issn.1000-3428.2018.01.040
融合运动信息的三维视觉显著性算法研究
Research on 3D Vision Saliency Algorithm with Fusion Motion Information
摘要
Abstract
Most of the research on visual saliency in computer vision is limited to 2D image,and ignore the fact that human vision attention decision making operates in real 3D dynamic scene.So this paper proposes a 3D vision saliency algorithm which combines saliency computing framework with multiple features.Using color information of the scene,motion information and depth information,the saliency results of each characteristic channel are calculated respectively,and the final saliency results are obtained by dynamic fusion.Due to the lack of datasets of saliency in 3D scenes,this paper also proposes a new dataset for the evaluation of relevant algorithms.Compared with HC algorithm,RC algorithm,and GMR algorithm,quantitative results prove that the proposed algorithm outperforms all the other algorithms and better fits the visual attention mechanism of human eyes.关键词
视觉显著性/三维场景/运动信息/深度信息/对比度/融合Key words
visual saliency/3 D scene/motion information/depth information/contrast rate/fusion分类
信息技术与安全科学引用本文复制引用
卢晶,张晓林,陈利利,李嘉茂..融合运动信息的三维视觉显著性算法研究[J].计算机工程,2018,44(1):238-246,9.基金项目
上海市青年科技英才扬帆计划项目(14YF1407300). （14YF1407300）
