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Software Pipeline Connecting Close-Range Photogrammetry and 3D Printing

By Gillian Yue, VI Form

Software Pipeline Connecting Close-Range Photogrammetry and 3D Printing

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Abstract/Introduction

The aim of this project is to make it possible for an average person with no prior knowledge in photogrammetry to 3D-print small objects found in daily lives. My work is to create a software that serves as a pipeline; the software connects the multiple processes that are required to transform the input of of photos of the target object into an output of a 3D printable model file. In other words, what used to be a complicated process of switching between different tools and manually processing the model to make it 3D printable becomes a simple one-click routine where the user can provide the initial group of photos, and then simply sit next to the 3D printer to wait for the object to come out half an hour later.The making of the software pipeline involves finding existing open-source softwares out there that can complete each stage of the overall process, writing a script that connects the input and output of those softwares, and figuring out the appropriate parameters used in each step to properly perform the task at hand. Overall, the flow of the software pipeline follows the diagram shown in the middle of this poster. Written in Bash script, the pipeline connects VisualSFM, PMVS, and Meshlab processing, open-source softwares respectively in charge of Sparse Reconstruction, Dense Reconstruction, cleaning up, Mesh reconstruction and continuity check.

Gillian Yue is a VI Form boarding student from Shanghai, China. She lives in Thayer, and she enjoys playing video games and listening to jazz music. 


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