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Genetic Algorithm Based Hybrid Attribute Selection Using Customized Fitness Function Read chapter Read first chapter

2018 | OriginalPaper | Chapter

A Vision Based DCNN for Identify Bottle Object in Indoor Environment

Authors : Lolith Gopan, R. Aarthi

Published in: Computational Vision and Bio Inspired Computing

Publisher: Springer International Publishing

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Abstract

Vision based detection and classification is an emerging area of research in the field of automation. Due to the demand in automation different fields artificial intelligent architectures plays vital role to address the issues. Conventional architectures used for dealing computer vision problems are heavily under control on user features. But the new deep learning techniques have provided a substitute of automatically learning problem related features. The classification problem can be designed based on feature learned from DCNN. The performance of the DCNN algorithm vary based on the training. In this paper the performance of Deep Convolutional Neural Network (DCNN) is analyzed in classifying categories of bottle object.

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Metadata
Title
A Vision Based DCNN for Identify Bottle Object in Indoor Environment
Authors
Lolith Gopan
R. Aarthi
Copyright Year
2018
Book
Computational Vision and Bio Inspired Computing

Print ISBN: 978-3-319-71766-1

Electronic ISBN: 978-3-319-71767-8

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-71767-8_37