'Institute of Electrical and Electronics Engineers (IEEE)'
Doi
Abstract
Shape representation methods play an important
role in 3D shape recognition system. Three-dimensional shape
recognition is widely used in 3D search engines, gravitational
field, medical imaging, computer vision and face recognition.
In this paper we propose an ellipsoidal shape representation
technique for 3D shape recognition. We present some
experimental and comparison results of our approach for
shape matching using a standard database, Princeton Shape
Benchmark. The effectiveness of our proposed algorithm is
measured using nearest neighborhood. We then introduced a
new idea which is a possible extension of the proposed
approach and evaluate the results against human observation
