Shape Analysis and Classification using Landmarks: Polygonal Wavelet Transform
نویسندگان
چکیده
Shape analysis has played a central role in many problems in vision and perception, being an active multidisciplinary research field. In this context, this paper introduces a new shape analysis approach using the well known wavelet transform and exploring shape representation by landmarks. This work shows how to obtain a time signal from the landmarks representation, which undergoes the wavelet transform, as well as a useful geometrical interpretation using two special mother wavelets, i.e. the first and the second derivatives of the gaussian. Successful experimental results obtained from real data are also discussed.
منابع مشابه
Morphometrical data analysis using wavelets
In this paper, we present a new shape analysis approach using the well-known wavelet transform and exploring shape representation by landmarks. First, we describe the approach adopted to represent the landmarks data as parametric signals. Then, we show the relation of the derivatives of Gaussian wavelet transform applied to the signal-to-differential properties of the shape that it represents. ...
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