关键词: RGB-D图像, 视觉显著图, 显著图像融合

Abstract: RGB-D saliency detection aims to identify the most visually significant objects in a pair of RGB images and depth images. At present, the academic community has proposed various effective methods for single RGB-D image saliency detection, and these detection methods have complementary advantages. Therefore, the studies that the saliency maps generated by various methods are fused to improve the accuracy of saliency detection are indispensable. After studying the related work about saliency maps fusion, two levels of fusion process are proposed.Firstly, the initial saliency maps are generated by using a variety of off-the-shelf RGB-D saliency map detection methods. Then, the saliency map fusion at the image level and the pixel level is studied respectively, and the saliency maps obtained at these two levels are fused in proportion to obtain the final saliency map. The experimental results show that the effect of the saliency map fusion method is not only better than the single image saliency detection method, but also has certain advantages compared with other fusion methods.

Key words: RGB-D image, visual saliency map, saliency map fusion