RGB-D-Based Object Recognition Using Multimodal Convolutional Neural Networks: A Survey

RGB-D-Based Object Recognition Using Multimodal Convolutional Neural Networks: A Survey

Object recognition in real-world environments is one of the fundamental and key tasks in computer vision and robotics communities. With the advanced sensing technologies and low-cost depth sensors, the high-quality RGB and depth images can be recorded synchronously, and the object recognition perfor...

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Bibliographic Details
Main Authors: Mingliang Gao, Jun Jiang, Guofeng Zou, Vijay John, Zheng Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
multimodal fusion
object recognition
RGB-D
survey
Online Access:https://ieeexplore.ieee.org/document/8683987/

Internet

https://ieeexplore.ieee.org/document/8683987/

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