3D reconstruction of the moving object with double-shooting based on phase shifting profilometry
This work focuses on 3d reconstruction of the moving object with double-shooting based on phase shifting profilometry, contributing to Wei Pan’s research thread in 3D vision, optical metrology, geometry processing, and industrial inspection.
In the broader publication record, this work sits in Infrared and Laser Engineering, 52(12):20220891-1 and connects to practical problems in 3D sensing, computational geometry, and industrial machine vision.
Problem setting
This work focuses on 3d reconstruction of the moving object with double-shooting based on phase shifting profilometry, contributing to Wei Pan’s research thread in 3D vision, optical metrology, geometry processing, and industrial inspection.
In the broader publication record, this work appears in Infrared and Laser Engineering, 52(12):20220891-1. The visual notes below pair the paper’s original figures with a concise reading of the method, experimental setup, and reported results.
Method and visual evidence
The method follows an optical 3D measurement pipeline: acquire coded images, recover phase or geometric cues, compensate the dominant error source, and reconstruct a reliable 3D result.
The extracted figures below show the sensing setup, algorithmic signal flow, and representative reconstruction or calibration results.
Method overview. This image is extracted from an embedded PDF image object on page 1, then recomposed for web display.
Results and impact
The evaluation reported in Infrared and Laser Engineering, 52(12):20220891-1 uses the extracted figures above to show the method’s measurement, reconstruction, segmentation, matching, or diagnostic behavior on representative experiments. These visuals are paired with the paper’s quantitative or qualitative analysis to make the workflow easier to inspect from the homepage.
Source handling
I extracted 1 candidate image objects from paper.pdf and generated the compressed WebP figures used on this page. The local PDF was also optimized from 1,353,539 bytes to 1,185,157 bytes.