Kernel locality‐constrained sparse coding for head pose estimation

Kernel locality‐constrained sparse coding for head pose estimation

In many situations, it would be practical for a computer system user interface to have a model of where a person is looking and what the user is paying attention to. In this study, the authors describe a novel feature coding method for head pose estimation. The widely‐used sparse coding (SC) method...

Full description

Bibliographic Details
Main Authors: Hyunduk Kim, Myoung‐Kyu Sohn, Dong‐Ju Kim, Sang‐Heon Lee
Format: Article
Language:English
Published: Wiley 2016-12-01
Series:IET Computer Vision
Subjects:
kernel function
kernel feature space
kernel tricks
local-coordinate system
locality-constrained linear coding
training samples
Online Access:https://doi.org/10.1049/iet-cvi.2015.0242

Internet

https://doi.org/10.1049/iet-cvi.2015.0242

Similar Items