Roberto Scopigno's work has had a profound impact on the field of visual computing, and several contributions truly stand out. Of particular importance has been his work on surface simplification, LOD and multiresolution representations for surfaces and volumes. Other significant contributions are his work on speeding up isosurface extraction using interval trees, his algorithm for implicit disambiguation of Marching Cubes, his data structures and algorithms for efficient out-of-core memory management and processing of huge meshes, and his stimulating work on 3D scanning with applications to cultural heritage.
Roberto Scopigno leads the Visual Computing Lab of ISTI-CNR and has created a very successful research group, several of his former students have themselves become productive researchers.
Links:
Complete award citation:
http://www.eg.org/about/awards/winners/winner_scopigno
