Image saliency is the most important information source to realize visual information perception. The detection of image saliency information has always been a hot topic in computer vision research. With the great improvement of data acquisition capability, the demand of three-dimensional or stereoscopic vision is becoming more and more urgent. The effective extraction of deep sensitive information is an important element that affects the current stereoscopic vision experience. Therefore, it has been paid attention by many researchers and obtained some research achievements. In this paper, through extensive research on the relevant detection templates and technologies of image saliency detection and depth sensitive information extraction research, the current status of depth sensitive information extraction research is classified and summarized, and several typical depth sensitive information extraction algorithms are analyzed through comparative experiments. Finally, the problems and development trends of depth-sensitive information extraction techniques are discussed.