Paper Info
Title
Projecting Distortion Calibration and Evaluation of Coding Fringes in Structured Light System.
Abstract
Coded structured light is an accurate, fast 3D measurement approach with high sampling density, of which the encoded fringes are distorted when projected to curved surface. Focused on the demand of encoding, decoding, multi-view registration and system calibration, we expect to obtain undistorted fringes from camera image. Therefore, in this paper, we analyze the accuracy and sampling density of projecting distortion calibration approach based on control point and fitting surface. Moreover, combining the characteristic of coded structured light system, we design encoded fringe projecting distortion calibration scheme based on simplified encoded structured light model. Primarily, we neglect the minor parameters that affect the calibration in structured light model to reduce complexity. Then, we build the correspondence between camera image points and projector image points and achieve the calibration. Finally, we design evaluation scheme of projecting distortion calibration with parallelism and equal interval, and verify the effectiveness and accuracy of the approach through visual effect and experimental data.
Year
Venue
Field
2016
ICYCSEE
Computer vision,Structured light,Control point,Computer science,Coding (social sciences),Projector,Artificial intelligence,Decoding methods,Distortion,Calibration,Encoding (memory)
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Haibin Wu101.69
Qing Xu200.34
Xi Wu373.23
Guang-Lu Sun45816.03
Xiaoyang Yu521.71
Xiaoming Sun610.69