3D modeling made easier

Tao Ju received an NSF grant to develop innovative algorithms for 3D surface modeling

Shawn Ballard 
3D surface models can be used to prototype new technology, among many other applications. A new suite of algorithms developed by Tao Ju will make it easier for anyone to create 3D surface models by drawing curves, whether on the computer screen or in virtual reality. (Photo: Adobe Stock)
3D surface models can be used to prototype new technology, among many other applications. A new suite of algorithms developed by Tao Ju will make it easier for anyone to create 3D surface models by drawing curves, whether on the computer screen or in virtual reality. (Photo: Adobe Stock)

Three-dimensional (3D) surface models play a crucial role in fields ranging from engineering to entertainment. Engineers use 3D models to refine and prototype new objects from turbine blades to tennis shoes before production. In medicine, 3D models are used to create patient-specific anatomical models from medical imaging data, enhancing precision in complex procedures. In the film, gaming and education industries, surface modeling boosts character and environment design to enhance user engagement and interactivity.

Traditionally, the creation of high-quality 3D models requires the user to have a significant amount of experience, and it is generally a labor-intensive process even for experts, , says Tao Ju, professor of computer science & engineering in the McKelvey School of Engineering at Washington University in St. Louis, but he aims to change that.

Ju received a three-year, $394,679 grant from the National Science Foundation to develop a suite of algorithms that will improve the efficiency, surface quality and versatility of 3D modeling from sparse and noise-prone inputs, particularly curve sketches. Ultimately, the project will make it easier for everyone, regardless of experience, to create 3D surface models by drawing curves, whether on the computer screen or in immersive environments such as augmented and virtual reality.

“In this project, we’re extending existing modeling methods in three significant ways,” Ju said. “Improved efficiency for large inputs and interactive applications, better surface shapes that leverage higher-order geometric information of curves, and a greater variety of outputs.

“We’ll also prototype interactive software that allows users to generate surfaces directly from casually drawn curves,” Ju added. “This new tool will be designed for both novices and seasoned professionals across disciplines, streamlining the modeling process and making 3D creation more accessible than ever.”

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