# Matching-based Depth Camera and Mirrors for 3D Reconstruction

## TL;DR

This paper introduces a cost-effective 3D reconstruction system using a single depth camera and multiple mirrors, enabling flexible data capture without multiple sensors or synchronization.

## Contribution

It presents a novel method that replaces multiple cameras with mirrors, simplifying setup and allowing reconstruction of moving objects with a single sensor.

## Key findings

- Reconstruction accuracy confirmed on simple objects
- System works with moving objects without synchronization
- Uses mirrors to simulate multiple viewpoints

## Abstract

Reconstructing 3D object models is playing an important role in many applications in the field of computer vision. Instead of employing a collection of cameras and/or sensors as in many studies, this paper proposes a simple way to build a cheaper system for 3D reconstruction using only one depth camera and 2 or more mirrors. Each mirror is equivalently considered as a depth camera at another viewpoint. Since all scene data are provided by only one depth sensor, our approach can be applied to moving objects and does not require any synchronization protocol as with a set of cameras. Some experiments were performed on easy-to-evaluate objects to confirm the reconstruction accuracy of our proposed system.