MULTI-VIEW STEREO WITH SEMANTIC PRIORS
<p>Patch-based stereo is nowadays a commonly used image-based technique for dense 3D reconstruction in large scale multi-view applications. The typical steps of such a pipeline can be summarized in stereo pair selection, depth map computation, depth map refinement and, finally, fusion in ord...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W15/1135/2019/isprs-archives-XLII-2-W15-1135-2019.pdf |
| Summary: | <p>Patch-based stereo is nowadays a commonly used image-based technique for dense 3D reconstruction in large scale multi-view
applications. The typical steps of such a pipeline can be summarized in stereo pair selection, depth map computation, depth map
refinement and, finally, fusion in order to generate a complete and accurate representation of the scene in 3D. In this study, we aim to
support the standard dense 3D reconstruction of scenes as implemented in the open source library OpenMVS by using semantic priors.
To this end, during the depth map fusion step, along with the depth consistency check between depth maps of neighbouring views
referring to the same part of the 3D scene, we impose extra semantic constraints in order to remove possible errors and selectively
obtain segmented point clouds per label, boosting automation towards this direction. In order to reassure semantic coherence between
neighbouring views, additional semantic criterions can be considered, aiming to eliminate mismatches of pixels belonging in different
classes.</p> |
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| ISSN: | 1682-1750 2194-9034 |