TOF Depth Map Super-resolution Using Compressive Sensing

Abstract

Although Time-of-Flight (TOF) camera can provide real-time depth information from a real scene, the resolution of depth map captured by TOF camera is rather limited compared to HD color cameras, and thus it cannot be directly used in 3D reconstruction. In order to handle this problem, this paper proposes a novel compressive sensing (CS) based depth map super-resolution method, which transforms a low resolution depth map to a high resolution depth map. Different from previous depth map SR methods, this algorithm uses a model-based CS as reconstruction theory, and this method also builds a TOF camera sampling model which is used in depth map SR. Experimental results show that the proposed method outperforms state-of-the-art methods for depth map super-resolution.