Research on Image Reconstruction of Indoor Environment Design based on Multi-sensor Information Fusion

Indoor environment design image reconstruction is of great significance to indoor environment design. However, due to the diversity and complexity of indoor environment, it is not easy to ensure the accuracy of image reconstruction with the data of a single sensor. So this paper presents an indoor environment design image reconstruction method based on multi-sensor information fusion. First, the RGB camera and depth camera are used to obtain the color image as well as the depth image of the indoor environment. Meanwhile, inertial sensors and attitude sensors are used to obtain the indoor environment’s position and attitude information. According to the location and orientation of the indoor environment, temperature sensors, humidity sensors and light intensity sensors are used to collect temperature, humidity and light intensity values in the indoor and outdoor environment. Referring to the fused data, the advanced image reconstruction algorithm is introduced to reconstruct the three-dimensional scene image of the indoor environment. The experimental results show that the reconstruction accuracy of this method is between 0.02 and 0.05. The indoor environment design image reconstruction based on multi-sensor information fusion can greatly improve the accuracy and authenticity of the reconstruction image.