Super-resolution Keyframe Fusion for 3D Modeling with High-Quality Textures
Maier R, Stueckler J, Cremers D (2015)
Publication Type: Conference contribution
Publication year: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 536-544
Conference Proceedings Title: Proceedings - 2015 International Conference on 3D Vision, 3DV 2015
Event location: Lyon, FRA
ISBN: 9781467383325
DOI: 10.1109/3DV.2015.66
Abstract
We propose a novel fast and robust method for obtaining 3D models with high-quality appearance using commodity RGB-D sensors. Our method uses a direct key frame-based SLAM front end to consistently estimate the camera motion during the scan. The aligned images are fused into a volumetric truncated signed distance function representation, 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 key frames. The meshes are textured from these sharp super-resolution key frames 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.
Involved external institutions
Germany (DE)How to cite
APA:
Maier, R., Stueckler, J., & Cremers, D. (2015). Super-resolution Keyframe Fusion for 3D Modeling with High-Quality Textures. In Michael Brown, Jana Kosecka, Christian Theobalt (Eds.), Proceedings - 2015 International Conference on 3D Vision, 3DV 2015 (pp. 536-544). Lyon, FRA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Maier, Robert, Joerg Stueckler, and Daniel Cremers. "Super-resolution Keyframe Fusion for 3D Modeling with High-Quality Textures." Proceedings of the 2015 International Conference on 3D Vision, 3DV 2015, Lyon, FRA Ed. Michael Brown, Jana Kosecka, Christian Theobalt, Institute of Electrical and Electronics Engineers Inc., 2015. 536-544.
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