A Sparse and Low-Rank Matrix Recovery Model for Saliency Detection

Chao Wang; Jing Li; Kexin Li; Yi Zhuang

doi:10.1007/978-3-030-05090-0_11

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A Sparse and Low-Rank Matrix Recovery Model for Saliency Detection

Chao Wang Jing Li Kexin Li Yi Zhuang

Year: 2018 Lecture notes in computer science Pages: 129-139 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-05090-0_11

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Keywords:

Computer science Artificial intelligence Pattern recognition (psychology) Rank (graph theory) Matrix (chemical analysis) Pixel Sparse matrix Object detection Computer vision Image (mathematics) Mathematics

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Topics

Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Video Quality Assessment

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A Sparse and Low-Rank Matrix Recovery Model for Saliency Detection

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