Integration of colour and affine invariant feature for multi-view depth video estimation

Abstract

Although many depth map estimation methods have been developed, depth map estimation still has some difficulties in low-texture regions and occlusion. This paper presents a novel approach for multi-view depth video estimation which adopts an adaptive matching scheme for high-texture regions and low-texture regions, respectively. For low-texture regions, the proposed method integrates affine invariant features with colour to make the matching more robust. Furthermore, according to the smoothness assumption of depth maps, a refinement is then performed on the estimated depth maps. Experimental results show that the proposed method can achieve better or comparable performances than the state-of-the-art method in the category of local methods even with the less running time.

Keywords:

• Depth estimation
• Multi-view video plus depth (MVD)
• Affine invariant feature

Acknowledgements

We are grateful to anonymous reviewers for their constructive comments. This research was supported by the National Natural Science Foundation of China (No. U1301257).

ORCiD

Y. Zuo http://orcid.org/0000-0002-1603-1608