3D Target Recognition Based on Decision Layer Fusion

DOI

10.2991/icsnce-18.2018.5How to use a DOI?

Keywords

Target Recognition; Convolutional Neural Network; Decision Fusion

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Ma Xing
AU  - Yu Fan
AU  - Yu Haige
AU  - Wei Yanxi
AU  - Yang Wenhui
PY  - 2018/04
DA  - 2018/04
TI  - 3D Target Recognition Based on Decision Layer Fusion
BT  - Proceedings of the 2018 Second International Conference of Sensor Network and Computer Engineering (ICSNCE 2018)
PB  - Atlantis Press
SP  - 20
EP  - 23
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsnce-18.2018.5
DO  - 10.2991/icsnce-18.2018.5
ID  - Xing2018/04
ER  -