Papers
2
Total Citations
218
H-Index
2
About
Luiz Velho is a leading figure in computer graphics and vision, renowned for pioneering work that bridges geometric modeling and visual perception. His research spans shape analysis, image processing, and the development of novel acquisition technologies. A landmark contribution is his 2012 paper "Kinect and RGBD Images: Challenges and Applications," which has garnered over 212 citations. This work was instrumental in demonstrating how consumer-grade depth sensors could revolutionize fields from computer graphics to robotics, making 3D data accessible for real-time applications. Velho’s impact is further evidenced by his exploration of human pose estimation, as seen in his 2020 work on "A lightweight 2D Pose Machine with attention enhancement," which advances machine understanding of human motion for use in motion capture and medical analysis. As a senior researcher at IMPA (Instituto de Matemática Pura e Aplicada), his contributions have not only shaped academic research but also provided foundational tools for interactive and immersive technologies.
Research Focus
Key Achievements
Top Papers
- 1Kinect and RGBD Images: Challenges and Applications212 citations · 2012
- 2A lightweight 2D Pose Machine with attention enhancement6 citations · 2020