Depth Feature Based Accurate Saliency Detection for 3D Images
Bing Yan, Haoqian Wang, Xingzheng Wang, Yongbing Zhang · 2016
In this paper, we present an accurate saliency detection algorithm based on depth feature for 3D images. We first calculate depth cue based on the sharp regions' positions within the depth ranges. Then, the coarse saliency map is computed based on the background and location prior. Finally, we employ the contrast information in the coarse saliency map to obtain the final result. Experimental evaluation by comparison with existed methods verifies the effectiveness of our proposed algorithm in terms of precision, recall and F-Measure.