Work

Improved 3D measurement with a novel preprocessing method in DFP

Year: 2017

Type: article

Abstract: Shadow and background are two common factors in digital fringe projection, which lead to ambiguity in three-dimensional measurement and thereby need to be seriously considered. Preprocessing is often needed to segment the object from invalid points. The existing segmentation approaches based on modulation normally perform well in pure dark background circumstances, which, however, lose accuracy in situations of white or complex background. In this paper, an accurate shadow and background removal technique is proposed, which segments the shadow by one threshold from modulation histogram and segments the background by the threshold in intensity histogram. Experiments are well designed and conducted to verify the effectiveness and reliability of the proposed method.

Source: Robotics and Biomimetics

DOI: 10.1186/s40638-017-0077-z

Authors: Yi Xiao, You-Fu Li

Institution: City University of Hong Kong

Language: English

Topic: Optical measurement and interference techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: City University of Hong Kong, National Natural Science Foundation of China, Research Grants Council, University Grants Committee

Awards: G1383979613, G372528473, G4702203245