RGBD salient object detection based on depth feature enhancement. Issue 1 (1st January 2022)

• Record Type: Journal Article
• Authors: Shi, Yue; Yu, Wanjun; Guan, Qianxun
• Is Part Of: Journal of physics. Volume 2181:Issue 1(2022)
• Publication Date: 2022-01-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2181/1/012008
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: The depth map contains spatial location information, which has been proven to be beneficial for RGBD salient object detection. However, the quality of the depth map will directly affect the accuracy of RGBD saliency detection. In order to solve the problem of different quality of depth maps, a detection model based on depth enhancement is designed to enhance the available depth information and filter low-quality depth maps. By comparing four evaluation indicators with five advanced models, the experimental results show that the model in this paper is advanced.