Sequencing in Transformation of Rasterized 3D Models

This work focuses on sequencing in transformation of rasterized 3d models, 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 Singapore University of Technology and Design and connects to practical problems in 3D sensing, computational geometry, and industrial machine vision.

Problem setting

This work focuses on sequencing in transformation of rasterized 3d models, 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 Singapore University of Technology and Design. 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 32, then recomposed for web display.

Representation and setup. This image is extracted from an embedded PDF image object on page 89, then recomposed for web display.

Experimental evidence. This image is extracted from an embedded PDF image object on page 89, then recomposed for web display.

Result comparison. This image is extracted from an embedded PDF image object on page 94, then recomposed for web display.

Additional visual result. This image is extracted from an embedded PDF image object on page 94, then recomposed for web display.

Results and impact

The evaluation reported in Singapore University of Technology and Design 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 262 candidate image objects from paper.pdf and generated the compressed WebP figures used on this page. The local PDF was also optimized from 12,070,542 bytes to 11,994,420 bytes.