Dr. Ruxandra Florea

Biography

Ruxandra Florea received the “Diploma Engineer” degree in Electrical Engineering from the “Politehnica” University of Bucharest (UPB), Romania, in 2009. Since November 2009 she has been working towards the Ph.D. degree at the Electronics and Informatics department of the Faculty of Engineering Sciences of the Vrije Universiteit Brussel (VUB). In January 2011 she obtained a Ph.D. grant from the Institute for the Promotion of Innovation through Science and Technology in Flanders (IWT-Vlaanderen). Her current research interests include scalable L-infinite-oriented compression, 3D coding of meshes and geometry-adaptive wavelet bases

Research Interest

Polygonal meshes are currently used in a wide variety of applications, some of which require a good control on the individual error. Still, most existing 3D mesh coding architectures rely on the popular L2 distortion metric which only offers the control of the global coding error in the reconstructed mesh. In contrast to conventional mesh coding, our goal is to design scalable L-infinite driven mesh coding techniques which set a bound on the local absolute error on each vertex, allow for preserving mesh geometry details and offer L-infinite scalability. Scalable L-infinite coding of meshes is well suited for applications where each vertex position corresponds to a particular measurement, or it is used to derive certain measurements, and one cannot afford large local errors due to coding. These include, but are not restricted to 3D CAD, 3D topography and a growing number of medical applications. 3D meshes are the most employed representations of objects in virtual worlds. For a particular class of applications, including 3D CAD or 3D topography, geometry accuracy is of critical importance. L-infinite coding of meshes is able to control the local reconstruction error, being better suited for these applications than conventional L2-driven coding techniques.