Efficient Plane-Based Optimization of Geometry and Texture for Indoor RGB-D Reconstruction
May 21, 2019 Β· Declared Dead Β· π CVPR Workshops
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Authors
Chao Wang, Xiaohu Guo
arXiv ID
1905.08853
Category
cs.CV: Computer Vision
Cross-listed
cs.GR
Citations
3
Venue
CVPR Workshops
Last Checked
4 months ago
Abstract
We propose a novel approach to reconstruct RGB-D indoor scene based on plane primitives. Our approach takes as input a RGB-D sequence and a dense coarse mesh reconstructed from it, and generates a lightweight, low-polygonal mesh with clear face textures and sharp features without losing geometry details from the original scene. Compared to existing methods which only cover large planar regions in the scene, our method builds the entire scene by adaptive planes without losing geometry details and also preserves sharp features in the mesh. Experiments show that our method is more efficient to generate textured mesh from RGB-D data than state-of-the-arts.
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