Causes and Corrections for Bimodal Multi-Path Scanning With Structured Light

Yu Zhang, Daniel L. Lau, Ying Yu; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 4431-4439

Abstract


Structured light illumination is an active 3D scanning technique based on projecting/capturing a set of striped patterns and measuring the warping of the patterns as they reflect off a target object's surface. As designed, each pixel in the camera sees exactly one pixel from the projector; however, there are multi-path situations when the scanned surface has a complicated geometry with step edges and other discontinuities in depth or where the target surface has specularities that reflect light away from the camera. These situations are generally referred to multi-path where a camera pixel sees light from multiple projector positions. In the case of bimodal multi-path, the camera pixel receives light from exactly two positions which occurs along a step edge where the edge slices through a pixel so that the pixel sees both a foreground and background surface. In this paper, we present a general mathematical model to address the bimodal multi-path issue in a phase-measuring-profilometry scanner to measure the constructive and destructive interference between the two light paths, and by taking advantage of this interesting cue, separate the paths and make two decoupled phase measurements. We validate our algorithm with a number of challenging real-world scenarios, outperforming the state-of-the-art method.

Related Material


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[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Yu and Lau, Daniel L. and Yu, Ying},
title = {Causes and Corrections for Bimodal Multi-Path Scanning With Structured Light},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}