3D convolutional neural network for object recognition: a review

被引：0
|
作者：
Rahul Dev Singh
Ajay Mittal
Rajesh K. Bhatia
机构：
[1] Punjab Engineering College,UIET
[2] Panjab University,undefined
来源：
Multimedia Tools and Applications | 2019年 / 78卷
关键词：
Deep learning; 3D images; Convolutional neural network; Object recognition; Supervised learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Recognition of an object from an image or image sequences is an important task in computer vision. It is an important low-level image processing operation and plays a crucial role in many real-world applications. The challenges involved in object recognition are multi-model, multi-pose, complicated background, and depth variations. Recently developed methods have dealt with these challenges and have reported remarkable results for 3D objects. In this paper, a comprehensive overview of recent advances in 3D object recognition using Convolutional Neural Networks (CNN) has been presented. Along with the latest progress in 3D images, general overview of object recognition of 2D, 2.5D, and 3D images is presented.
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收藏
页码：15951 / 15995
页数：44
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