基于场景几何信息的显著性目标检测方法综述

doi:10.16451/j.cnki.issn1003-6059.202302003

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Abstract

Salient object detection is crucial in the fields of image and video compression, camouflaged object detection, medical image segmentation, etc. With the wide application of depth sensor and light field technology, scene geometric information such as depth images and light field images is applied to salient object detection to improve the performance of the model in complex scenes. Therefore, a series of salient object detection methods based on scene geometric information is proposed. The typical algorithms of salient object detection based on scene geometric information are summarized in this paper. Firstly , the basic frameworks of models and evaluation metrics are illustrated. Then, the typical algorithms of RGB-D salient object detection and light field salient object detection are summarized and analyzed from the aspects of multi-modal feature fusion, multi-modal information optimization and network model lightweight. Meanwhile, the recent progress of salient object detection methods based on scene geometry information is introduced. Finally, the problems still faced in the existing salient object detection methods based on scene geometry information are analyzed and the future research is discussed.

Key words： Salient Object Detection Scene Geometric Information RGB-D Salient Object Detection Light Field Salient Object Detection

Received: 03 August 2022

ZTFLH:

TP391.41

Fund:

National Key R&D Program of China(No.2018AA,A0102001), National Natural Science Foundation of China(No.62172070,62293542,U1903215), Central Guidance on Local Science and Technology Development Fund of Liaoning Province(No.2022JH6/100100028)

Corresponding Authors: PIAO Yongri, Ph.D., associate professor. His research interests include 3D computer vision and sensing, object detection, target recognition, and 3D reconstruction and visualization.

About author:: WU Lanhu, master student. His research interests include deep learning, salient object detection, and 3D computer vision and sen?sing.LI Zhiwei, master student. His research interests include deep learning, salient object detection, and 3D computer vision and sen?sing.LIU Leiye, master student. His research interests include deep learning, salient object detection, and 3D computer vision and sen?sing.LU Huchuan, Ph.D., professor. His research interests include visual tracking, sa?liency object detection and image segmentation.

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Cite this article:

WU Lanhu,LI Zhiwei,LIU Leiye等. A Survey of Salient Object Detection Based on Scene Geometric Information[J]. Pattern Recognition and Artificial Intelligence, 2023, 36(2): 120-142.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202302003 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2023/V36/I2/120

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