Volume Measurement Technology of Dispensing Transparent Adhesives Based on Line Laser Scanning

This work focuses on volume measurement technology of dispensing transparent adhesives based on line laser scanning, 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 2025 10th International Conference on Image, Vision and Computing (ICIVC), 542-547 and connects to practical problems in 3D sensing, computational geometry, and industrial machine vision.

Problem setting

This work focuses on volume measurement technology of dispensing transparent adhesives based on line laser scanning, 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 2025 10th International Conference on Image, Vision and Computing (ICIVC), 542-547. 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 combines domain-specific measurements with an algorithmic representation that exposes the relevant structure, then refines it into a reconstruction, correspondence, segmentation, measurement, or decision result.

The extracted figures below show the main pipeline and representative experimental evidence.

Method overview. This image is extracted from an embedded PDF image object on page 2, then recomposed for web display.

Representation and setup. This image is extracted from an embedded PDF image object on page 3, then recomposed for web display.

Experimental evidence. This image is extracted from an embedded PDF image object on page 5, then recomposed for web display.

Result comparison. This image is extracted from an embedded PDF image object on page 5, then recomposed for web display.

Additional visual result. This image is extracted from an embedded PDF image object on page 6, then recomposed for web display.

Results and impact

The evaluation reported in 2025 10th International Conference on Image, Vision and Computing (ICIVC), 542-547 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 15 candidate image objects from paper.pdf and generated the compressed WebP figures used on this page.