Brian Curless

Papers

Total Citations

184

H-Index

About

Brian Curless is a leading figure in computer graphics and computer vision, renowned for his pioneering work in 3D shape acquisition, modeling, and manipulation. His research fundamentally bridges the gap between physical objects and their digital representations. A key contribution is his work on autonomous 3D object modeling, where he developed systems enabling robots to actively manipulate objects to generate complete surface models, a foundational approach for robotic interaction and digital archiving. This work, published in a 2011 paper with 158 citations, demonstrates his impact on robotics and 3D scanning. Curless is also celebrated for his innovative work in non-photorealistic rendering, notably through "Shape Analogies," a method that learns artistic line styles from examples, allowing users to automatically apply complex drawing styles to new shapes. This creative contribution, alongside his foundational work on the Stanford 3D Scanning Repository (including the famous "Lucy" and "Dragon" models), has made him a central figure in the field. His research, consistently cited by hundreds of peers, continues to shape how we capture, create, and interact with 3D content.