Analysis of reduced‐set construction using image reconstruction from a HOG feature vector

Analysis of reduced‐set construction using image reconstruction from a HOG feature vector

Recently, several methods have been published that demonstrate how to reconstruct an image from a discriminative feature vector. This study explains that previous approaches minimising the histogram‐of‐oriented‐gradient (HOG) feature error in the principal component analysis (PCA) domain of the lear...

Full description

Bibliographic Details
Main Author: Ho Gi Jung
Format: Article
Language:English
Published: Wiley 2017-12-01
Series:IET Computer Vision
Subjects:
reduced-set construction analysis
image reconstruction
HOG feature vector
discriminative feature vector
histogram-of-oriented-gradient feature error
principal component analysis
Online Access:https://doi.org/10.1049/iet-cvi.2016.0317

Internet

https://doi.org/10.1049/iet-cvi.2016.0317

Similar Items