Miquel Feixas

Papers

Total Citations

321

H-Index

About

Miquel Feixas is a leading researcher in computer graphics and visualization, best known for pioneering the use of information theory to solve fundamental problems in visual computing. His most influential contribution is the introduction of **Viewpoint Entropy** (2001), a groundbreaking metric that quantifies the quality of a viewpoint based on the amount of information it captures from a 3D scene. With 317 citations, this work has become a cornerstone for applications in computational geometry, robot motion planning, image-based rendering, and graph drawing, providing a principled way to automate camera placement and scene understanding. Feixas further advanced this line of inquiry by applying **mutual information** to analyze scene complexity, as demonstrated in his work on "Visibility Complexity of a Region in Flatland" (2000). His research elegantly bridges Shannon’s information theory with geometric modeling, enabling more efficient rendering, visualization, and scene analysis. Through his innovative metrics, Feixas has provided the computer graphics community with powerful tools to measure and optimize visual information, making his work essential reading for students and researchers in perception, rendering, and interactive graphics.