Spherical Self-Organizing Maps : a comprehensive view

ISBN-13: 9783639155099 / Angielski / Miękka / 2009 / 156 str.

Archana Sangole

Opis

The thesis documents various implementations of thespherical self-organizing feature map spanning fromrange imagery to multi-dimensional satellite imagery. Other implementations include archaeological dataand face modeling. The techniques are adaptedversions of the fundamental learning strategy of theself-organizing map, introduced by Dr. Teuvo Kohonen,and implemented within a spherical topology.Continuity in learning is imposed by the predefinedspherical lattice which also transforms the data intoa 3D tessellated form. Since the tessellated formsoriginate from a sphere they simplify the computationof transformation parameters, object re-orientationetc. commonly used in three-dimensional graphics.

O autorze

Dr. Sangole is a Researcher in Mechanical Engineering at Ecole
Polytechnique and the Marie-Enfant Rehabilitation Center of
CHU-Sainte-Justine, Montreal, QC. Her research is in
musculoskeletal biomechanics. She is a manufacturing engineer
with previous research experience in deformable modeling, data
visualization and Computer-Aided-Design exchange.