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3D shape recognition using wavelet transform based on ellipsoid

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3 Author(s)
Khatun, A. ; Fac. of Comput. Sci. & Inf. Technol., Univ. Malaysia Sarawak, Kota Samarahan, Malaysia ; Yin Chai Wang ; Islam, M.R.

Representation of 3D shape is an important property of 3D object retrieval. Representing 3D shape features in a suitable format that includes important geometrical characteristic is not trivial. Existing current feature vector methods represent 3D shape function using a sphere. However, it can not fully characterize the approximation of 3D shape. Generally 3D shapes are irregular in nature. Ellipsoidal approximation gives closure resemblance of a 3D shape. In this paper, we reviewed the current existing approaches of 3D shape retrieval, their limitations and state the current research findings. We also propose a new hypothesis to represent 3D shape function using ellipsoid. Based on this hypothesis, we present a new ellipsoidal based wavelet features that forms the characteristics vector of 3D shapes. Our testing results proof our hypothesis.

Published in:

Intelligent and Advanced Systems (ICIAS), 2010 International Conference on

Date of Conference:

15-17 June 2010