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

页码：307 / 310

页数：4

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