RGB-D image saliency detection from 3D perspective-Reference-Cited by-同舟云学术

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RGB-D image saliency detection from 3D perspective

Published:2018-07-31 Issue:6 Volume:78 Page:6787-6804
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Liu Zhengyi,Song Tengfei,Xie Feng

Funder

National Key Technology Research and Development Program of the Ministry of Science and Technology of China

Key Program of Natural Science Project of Educational Commission of Anhui Province, China

Open issues on Co-Innovation Center for Information Supply & Assurance Technology, Anhui University

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-018-6319-4.pdf

Reference42 articles.

1. Achanta R, Shaji A, Smith K et al (2012) SLIC superpixels compared to state-of-the-art superpixel methods [J]. IEEE Trans Pattern Anal Mach Intell 34(11):2274–2282

2. Ahmad J, Sajjad M, Mehmood I et al (2015) Saliency-weighted graphs for efficient visual content description and their applications in real-time image retrieval systems[J]. J Real-Time Image Proc 13(3):431–447

3. Chaib S, Gu Y, Yao H et al (2016) A VHR scene classification method integrating sparse PCA and saliency computing[C]. Geoscience and Remote Sensing Symposium (IGARSS). 2016 IEEE International, pp 2742–2745

4. Cheng Y, Fu H, Wei X et al (2014) Depth enhanced saliency detection method[C]. Proceedings of international conference on internet multimedia computing and service. ACM, pp 23

5. Desingh K, Madhava K K, Rajan D et al (2013) Depth really matters: improving visual salient region detection with depth[C]. British machine vision conference (BMVC), pp 98.1–98.11

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. RGB-D saliency detection via complementary and selective learning;Applied Intelligence;2022-07-30

2. Stereo VoVNet-CNN for 3D object detection;Multimedia Tools and Applications;2021-09-12

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