3D Textile Reconstruction based on KinectFusion and Synthesized Texture

The 3D textile model plays an important role in textile engineering. The 3D textile model mainly consists of the 3D geometric shape and the texture. Depth cameras such as Microsoft Kinect, is much cheaper than conventional 3D scanning devices. However, not much work about 3D textile reconstructed based on depth cameras and the texture is also limited by photography methods in 3D scanning. This paper presents a novel framework of reconstructing the 3D textile model with synthesized texture. Firstly, a pipeline of 3D textile reconstruction based on KinectFusion is proposed to obtain a better 3D model. Secondly, convolutional neural networks (CNN) is used to synthesize the textile texture. Experimental results show that our method can conveniently obtain 3D textile models with synthesized texture.