Depth combined saliency detection based on region contrast model
Hailong Zhang, Jianjun Lei, Fan Xiaohong, Meimin Wu, Peng Zhang, Shupo Bu · 2012
Visual attention is useful for computer vision and it has been applied in image compression and object recognition. In existing methods on saliency detection, most of them are unrelated to the depth feature. So we propose a bottom-up saliency detection model that combines the depth feature with region contrast based saliency model and the precision and recall rate of our algorithm is higher than those depth unrelated algorithm in terms of salient object segmentation.