Computational Visual Media最新文献_第7页

Smoothness preserving layout for dynamic labels by hybrid optimization. 基于混合优化的动态标签保持平滑布局。

IF 6.9 3区计算机科学

Computational Visual Media Pub Date : 2022-01-01 Epub Date: 2021-10-27 DOI: 10.1007/s41095-021-0231-y

Yu He, Guo-Dong Zhao, Song-Hai Zhang

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引用次数: 0

RGB-D salient object detection: A survey. RGB-D 突出物体检测：调查

IF 17.3 3区计算机科学

Computational Visual Media Pub Date : 2021-01-01 Epub Date: 2021-01-07 DOI: 10.1007/s41095-020-0199-z

Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao

{"title":"RGB-D salient object detection: A survey.","authors":"Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao","doi":"10.1007/s41095-020-0199-z","DOIUrl":"10.1007/s41095-020-0199-z","url":null,"abstract":"Salient object detection, which simulates human visual perception in locating the most significant object(s) in a scene, has been widely applied to various computer vision tasks. Now, the advent of depth sensors means that depth maps can easily be captured; this additional spatial information can boost the performance of salient object detection. Although various RGB-D based salient object detection models with promising performance have been proposed over the past several years, an in-depth understanding of these models and the challenges in this field remains lacking. In this paper, we provide a comprehensive survey of RGB-D based salient object detection models from various perspectives, and review related benchmark datasets in detail. Further, as light fields can also provide depth maps, we review salient object detection models and popular benchmark datasets from this domain too. Moreover, to investigate the ability of existing models to detect salient objects, we have carried out a comprehensive attribute-based evaluation of several representative RGB-D based salient object detection models. Finally, we discuss several challenges and open directions of RGB-D based salient object detection for future research. All collected models, benchmark datasets, datasets constructed for attribute-based evaluation, and related code are publicly available at https://github.com/taozh2017/RGBD-SODsurvey.","PeriodicalId":37301,"journal":{"name":"Computational Visual Media","volume":"7 1","pages":"37-69"},"PeriodicalIF":17.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788385/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10683664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Temporal scatterplots. 时间散点图。

IF 6.9 3区计算机科学

Computational Visual Media Pub Date : 2020-01-01 Epub Date: 2020-11-07 DOI: 10.1007/s41095-020-0197-1

Or Patashnik, Min Lu, Amit H Bermano, Daniel Cohen-Or

引用次数: 1

Renal transplantation. 肾移植。

IF 105.7 3区计算机科学

Computational Visual Media Pub Date : 2002-03-02 DOI: 10.1136/bmj.324.7336.530

Peter A Andrews

引用次数: 0