Assembling convolution neural networks for automatic viewing transformation

Images taken under different camera poses are rotated or distorted, which leads to poor perception experiences. This paper proposes a new framework to automatically transform the images to the conformable view setting by assembling different convolution neural networks. Specifically, a referential 3...

Full description

Saved in:
Bibliographic Details
Main Authors: Haibin Cai, Lei Jiang, Bangli Liu, Yiqi Deng, Qinggang Meng
Format: Default Article
Published: 2019
Subjects:
Electrical & Electronic Engineering
Information and Computing Sciences
Engineering
Technology
Automatic viewing transform
Convolution neural networks
Deep learning
Online Access:https://hdl.handle.net/2134/9912980.v1
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://hdl.handle.net/2134/9912980.v1

Similar Items