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, o...

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Bibliographic Details
Published inProceedings of the 21st International Conference on Pattern Recognition (ICPR2012) pp. 788 - 791
Main Author Shuhan Shen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2012
Subjects
Accuracy
Cameras
Image reconstruction
Image resolution
Merging
Reconstruction algorithms
Stereo image processing
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Summary: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.
ISBN:9781467322164
1467322164
ISSN:1051-4651
2831-7475