图像显著性是实现视觉信息感知的最主要信息源,图像显著性信息的检测是计算机视觉研究中的热点。随着数据获取能力的极大提升,三维或立体视觉感知的需求越来越迫切,深度敏感信息的有效提取是影响当前立体视觉体验的重要元素,已经得到了很多研究人员的注意并取得了一定的研究成果。本文对图像显著性检测及深度敏感信息提取研究的相关检测模板及技术进行广泛研究,对深度敏感信息提取的研究现状进行了分类和概括,并通过对比实验,分析了几种典型深度敏感信息提取算法。最后,对深度敏感信息提取技术存在的问题及发展趋势进行了讨论。

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.