Efficient Plane-Based Optimization of Geometry and Texture for Indoor RGB-D Reconstruction
Published in
(2019)External Links:
TL
TL;DR
This 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.
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.
References19 items
1
Plane-Based Optimization of Geometry and Texture for RGB-D Reconstruction of Indoor Scenes
2
3Dlite
3
InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure
4
Keyframe-based dense planar SLAM
5