深度图像超分辨率重建技术综述

便携式消费级深度相机的问世和发展,加速了深度信息在无人驾驶、人机交互、三维重建等领域的应用,但低成本消费级相机所拍摄的深度图像通常具有较低的空间分辨率。深度图像超分辨率重建是一种能有效提高深度信息空间分辨率的方法,已经成为计算机视觉和图像处理领域的研究热点。在详细阐述深度图像超分辨率重建概念和必要性的基础上,从输入图像角度,全面梳理归纳了近年来深度图像超分辨率重建方法的研究现状,对其中的关键性问题和今后的研究方向做了较为深入的分析,最后对深度图像超分辨率重建的应用前景进行了展望。

A Survey of Super-Resolution Reconstruction Technologies for Depth Image

The advent and development of portable consumer-grade cameras accelerate the use of depth information in many application fields, such as autonomous navigation, human computer interaction, and 3D reconstruction. However, depth images captured by these low-cost cameras usually have very low spatial resolutions. Depth image super-resolution (DISR) is an effective way to improve the spatial resolution of depth information, which has been a research focus in computer vision and image processing fields. The concept and necessity of DISR are described in detail in this paper. In addition, the DISR methods in recent years are comprehensively reviewed from the perspective of input image. Some of the key technologies and the development trend are analyzed. And the application prospect of DISR are provided at the end of this paper.