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3D Target Recognition Based on Decision Layer Fusion

Authors
  • Xing, Ma1
  • Fan, Yu1
  • Haige, Yu1
  • Yanxi, Wei1
  • Wenhui, Yang1
  • 1 School of computer science and engineering Xi’an Techonolgical University, Xi’an, 710021
Type
Published Article
Journal
International Journal of Advanced Network, Monitoring and Controls
Publisher
Exeley Inc.
Publication Date
Jan 01, 2018
Volume
3
Issue
1
Pages
19–22
Identifiers
DOI: 10.21307/ijanmc-2018-003
Source
Exeley
Keywords
License
Green

Abstract

Target recognition has always been a hot research topic in computer image and pattern recognition. This paper proposes a target recognition method based on decision layer fusion. ModelNet[1]—The 3D CAD model library, which is used to be identified. Features are extracted from the model’s point cloud data and multi-view images. The image is identified using the AlexNet[2] network, The point cloud is identified by the VoxNet[3] network. The fusion algorithm is used in the decision layer to complete the fusion of features. The results show that the proposed method improves the accuracy of object recognition.

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