Multimodal Convolutional Neural Network for Object Detection Using RGB-D Images

被引：0
|
作者：
Mocanu, Irina [1 ]
Clapon, Cosmin [1 ]
机构：
[1] Univ Politehn Bucuresti, Comp Sci Dept, Bucharest, Romania
来源：
2018 41ST INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP) | 2018年
基金：
欧盟地平线“2020”;
关键词：
object detection; convolutional neural network; RGB-D images;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a new convolutional neural network architecture for performing object detection based on RGB-D images. The network is an extension of the Faster-RCNN network where we add an additional input network branch for processing the depth image. The network was evaluated on the SUN RGB-D dataset for object detection and we obtained a positive difference in mAP score of about 4%, compared to the original one.
引用
收藏
页码：307 / 310
页数：4
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