Depth-map merging for Multi-View Stereo with high resolution images

By taking advantage of recent progress in patch match based stereo [1], we propose a depth-map merging based Multi-View Stereo (MVS) reconstruction method for large-scale scenes. Combining the strength of the accuracy of patch match stereo and the redundancy information provided by multiple views, our method can produce quite satisfactory MVS reconstruction results. Besides, the proposed method could be easily parallelized at image level, i.e., each depth-map is computed individually, which makes it suitable for large-scale scene reconstruction with high resolution images.