3D Target Recognition Based on Decision Layer Fusion
Ma Xing, Yu Fan, Yu Haige, Wei Yanxi, Yang Wenhui
Available Online April 2018.
- 10.2991/icsnce-18.2018.5How to use a DOI?
- Target Recognition; Convolutional Neural Network; Decision Fusion
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??"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 network, the point cloud is identified by the VoxNet 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.
- © 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/).
Cite this article
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 -