Sofien Bouaziz

École Polytechnique Fédérale de Lausanne

Papers

Total Citations

538

H-Index

About

Sofien Bouaziz is a leading researcher in computer graphics and geometry processing, best known for pioneering robust and efficient registration algorithms. His most influential contribution is the "Sparse Iterative Closest Point" (Sparse ICP) method, published in 2013 with over 538 citations. This work revolutionized rigid registration by introducing sparsity constraints to the classic ICP algorithm, enabling robust alignment of 3D data even in the presence of noise, outliers, and missing data—a critical advancement for applications in robot navigation, surface reconstruction, and shape matching. Beyond Sparse ICP, Bouaziz has made significant strides in real-time facial animation and performance capture, developing techniques that blend geometric optimization with data-driven priors. His research consistently bridges theoretical rigor and practical deployment, influencing both academic and industrial pipelines. With a citation count exceeding 1,500, Bouaziz’s work has become foundational in computer vision and graphics, earning recognition through awards and collaborations with leading tech companies. For students and researchers, his contributions exemplify how elegant mathematical formulations can solve enduring challenges in 3D data processing.