Please use this identifier to cite or link to this item: https://doi.org/10.1109/IJCNN.2013.6706892
Title: The use of optical and sonar images in the human and dolphin brain for image classification
Authors: Jalali, S.
Seekings, P.J. 
Tan, C.
Ratheesh, A.
Lim, J.-H.
Taylor, E.A.
Issue Date: 2013
Citation: Jalali, S.,Seekings, P.J.,Tan, C.,Ratheesh, A.,Lim, J.-H.,Taylor, E.A. (2013). The use of optical and sonar images in the human and dolphin brain for image classification. Proceedings of the International Joint Conference on Neural Networks : -. ScholarBank@NUS Repository. https://doi.org/10.1109/IJCNN.2013.6706892
Abstract: In this paper we propose a new biologically inspired model which simulates the visual pathways in the human brain used for classification of matching optical and sonar derived images. Marine mammals, such as dolphins, that live in waters with poor optical clarity and low light levels such as littoral zones, use a combination of optical vision and biosonar to navigate and hunt for prey. Given that dolphins have evolved a synergistic combination of optical visual input and acoustic/sonar input, the primary focus of this paper is on reaching a similar level of synergy for a diver or Autonomous Underwater Vehicle (AUV) platform equipped with a system to extend the range and resolution of vision in poor ambient visibility. We propose a biologically inspired model that combines and processes visual images acquired via optical and acoustic pathways and show that the combined model enhances the accuracy of automatic classification of target objects in underwater images. © 2013 IEEE.
Source Title: Proceedings of the International Joint Conference on Neural Networks
URI: http://scholarbank.nus.edu.sg/handle/10635/116131
ISBN: 9781467361293
DOI: 10.1109/IJCNN.2013.6706892
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

35
checked on Oct 26, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.