Nonparametric Facial Feature Localization Using Segment-Based Eigenfeatures
We present a nonparametric facial feature localization method using relative directional information between regularly sampled image segments and facial feature points. Instead of using any iterative parameter optimization technique or search algorithm, our method finds the location of facial featur...
Main Authors: | Hyun-Chul Choi, Dominik Sibbing, Leif Kobbelt |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2016-01-01
|
Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2016/6730249 |
Similar Items
-
WEIGHTED ICP POINT CLOUDS REGISTRATION BY SEGMENTATION BASED ON EIGENFEATURES CLUSTERING
by: M. Franzini, et al.
Published: (2020-08-01) -
Preliminary results on nonparametric facial occlusion detection
by: Daniel LÓPEZ SÁNCHEZ, et al.
Published: (2016-10-01) -
Region-Based Nonparametric Model for Interactive Image Segmentation
by: Dan Wang, et al.
Published: (2019-01-01) -
ALGORITHMS FOR CONSTRUCTING THE DESCRIPTORS OF LOCAL IMAGE FEATURES BASED ON MULTIRING NONPARAMETRIC TRANSFORMATION
by: G. A. Butkin, et al.
Published: (2017-03-01) -
UNSUPERVISED SEGMENTATION OF INDOOR 3D POINT CLOUD: APPLICATION TO OBJECT-BASED CLASSIFICATION
by: F. Poux, et al.
Published: (2020-09-01)