Super-Resolution Keyframe Fusion for 3D Modeling with High-Quality Textures

Robert Maier, Jörg Stückler, Daniel Cremers
International Conference on 3D Vision (3DV), 2015

We propose a novel fast and robust method for obtaining 3D models with high-quality appearance using commod- ity RGB-D sensors. Our method uses a direct keyframe- based SLAM frontend to consistently estimate the camera motion during the scan. The aligned images are fused into a volumetric truncated signed distance function rep- resentation, from which we extract a mesh. For obtaining a high-quality appearance model, we additionally deblur the low-resolution RGB-D frames using filtering techniques and fuse them into super-resolution keyframes. The meshes are textured from these sharp super-resolution keyframes employing a texture mapping approach. In experiments, we demonstrate that our method achieves superior quality in appearance compared to other state-of-the-art approaches.

» Show BibTeX
@inproceedings{maier2015superresolution, author= {R. Maier and J. Stueckler and D. Cremers}, title = {Super-Resolution Keyframe Fusion for 3D Modeling with High-Quality Textures}, booktitle = {International Conference on 3D Vision ({3DV})}, month = October, year = 2015, }

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