# Efficient Plane-Based Optimization of Geometry and Texture for Indoor RGB-D Reconstruction

## TL;DR

This paper introduces a new plane-based method for indoor RGB-D scene reconstruction that produces detailed, textured, low-polygon meshes efficiently, preserving sharp features and geometry details.

## Contribution

It presents a novel approach that reconstructs complete indoor scenes with adaptive planes, maintaining details and sharp features while improving efficiency.

## Key findings

- More efficient textured mesh generation from RGB-D data.
- Preserves sharp features and geometry details.
- Outperforms state-of-the-art methods in efficiency.

## 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.