Authors:
Gangbiao Chen
and
Chun Yuan
Affiliation:
Tsinghua University, China
Keyword(s):
Saliency Detection, Sparse Coding, Depth Information, Centre Shift, Human Visual Acuity.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Features Extraction
;
Image and Video Analysis
;
Visual Attention and Image Saliency
Abstract:
In this paper, we modified the region-based Human Visual System (HVS) model by import two features, sparse feature and depth feature. The input image is firstly divided into small regions. Then the contrast, sparse and depth feature of each region are extracted. We calculate the center-surround feature differences for saliency detection. In this step, the center shift method is adopted. In the weighting step, the human visual acuity is adopted. Compared with the existing related algorithms, experimental results on a large public database show that the modified method works better and can obtain a more accurate result.