Publications / 2018 / Sequencing in Transformation of Rasterized 3D Models

Sequencing in Transformation of Rasterized 3D Models

Wei Pan
Singapore University of Technology and Design
— Summary

This thesis studies the sequencing problem behind transformations of rasterized 3D structures: how to move from one discrete shape to another through feasible intermediate states while respecting assembly, collision, and pick-and-place constraints.

The work connects voxelized model transformation, LEGO assembly planning, and process sequencing for automated fabrication. It appears as Wei Pan’s Ph.D. thesis at Singapore University of Technology and Design.

Problem setting

Rasterized 3D models are easy to represent but hard to transform automatically when the system must output an executable sequence rather than only a target geometry. The thesis formulates this as a sequencing problem over discrete structures and studies how to preserve feasibility across the transformation.

The figures below collect representative visual evidence from the thesis, including model transformation examples and assembly-sequence results.

Method and visual evidence

The figures below summarize the paper’s workflow and representative visual evidence.

Sequencing in Transformation of Rasterized 3D Models - Method overview

Method overview.

Sequencing in Transformation of Rasterized 3D Models - Representation and setup

Representation and setup.

Sequencing in Transformation of Rasterized 3D Models - Experimental evidence

Experimental evidence.

Sequencing in Transformation of Rasterized 3D Models - Result comparison

Result comparison.

Sequencing in Transformation of Rasterized 3D Models - Additional visual result

Additional visual result.

Results and impact

The evaluation reported in Singapore University of Technology and Design is summarized through the figures above.

Type
Thesis
Topic
Computational Design
Venue
Singapore University of Technology and Design
Year
2018