Time-domain multiscale shape identification in electro-sensing

09/12/2014
by   Habib Ammari, et al.
0

This paper presents premier and innovative time-domain multi-scale method for shape identification in electro-sensing using pulse-type signals. The method is based on transform-invariant shape descriptors computed from filtered polarization tensors at multi-scales. The proposed algorithm enjoys a remarkable noise robustness even with far-field measurements at very limited angle of view. It opens a door for pulsed imaging using echolocation and induction data.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/08/2020

Multi-scale classification for electro-sensing

This paper introduces premier and innovative (real-time) multi-scale met...
research
10/10/2013

Wavelet methods for shape perception in electro-sensing

This paper aims at presenting a new approach to the electro-sensing prob...
research
01/15/2012

Shape analysis using fractal dimension: a curvature based approach

The present work shows a novel fractal dimension method for shape analys...
research
01/16/2012

Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski method

Shape is one of the most important visual attributes to characterize obj...
research
01/06/2015

Stem-Calyx Recognition of an Apple using Shape Descriptors

This paper presents a novel method to recognize stem - calyx of an apple...
research
11/20/2018

Shape-only Features for Plant Leaf Identification

This paper presents a novel feature set for shape-only leaf identificati...
research
03/18/2021

Heterogeneous robot teams for modeling and prediction of multiscale environmental processes

This paper presents a framework to enable a team of heterogeneous mobile...

Please sign up or login with your details

Forgot password? Click here to reset