3D Snow Sculpture Reconstruction Based on Structured-Light 3D Vision Measurement

Applied Sciences

Liguo Zhang¹  Lianfu Han²  Xiaolin Zhang³  Wancun Liu³ 

[1] College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China;College of Electronics Science, Northeast Petroleum University, Daqing 163318, China;School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China;

关键词: structured light;    3D measurement;    monochromatic value;    stripe extraction;   

DOI  :  10.3390/app11083324

来源: DOAJ

【 摘 要 】

Structured-light technique is an effective method for indoor 3D measurement, but it is hard to obtain ideal results outdoors because of complex illumination interference on sensors. This paper presents a 3D vision measurement method based on digital image processing to improve resistance to noise of measuring systems, which ensuresnormal operation of a structured-light sensor in the wild without changing its components, and the method is applied in 3D reconstruction of snow sculpture. During image preprocessing, an optimal weight function is designed based on noise classification and minimum entropy, and the color images are transformed into monochromatic value images to eliminate most environmental noise. Then a Decision Tree Model (DTM) in a spatial-temporal context of video sequence is used to extract and track stripe. The model is insensitive to stubborn noise and reflection in the images, and the result of the model after coordinate transformation is a 3D point cloud of the corresponding snow sculpture. In experimental results, the root mean square (RMS) error and mean error are less than 0.722 mm and 0.574 mm respectively, showing that the method can realize real-time, robust and accurate measurement under a complex illumination environment, and can therefore provide technical support for snow sculpture 3D measurement.

【 授权许可】

Unknown