Efficient and Robust Inverse Lighting of a Single Face Image Using Compressive Sensing

2015 ◽  
Author(s):  
Miguel Heredia Conde ◽  
Davoud Shahlaei ◽  
Volker Blanz ◽  
Otmar Loffeld
Keyword(s):  
Compressive Sensing ◽  
Face Image ◽  
Single Face ◽  
Inverse Lighting

Research on Adaptive Face Gender Recognition Based on Compressive Sensing

2014 ◽  
Vol 989-994 ◽  
pp. 4187-4190 ◽  
Author(s):  
Lin Zhang
Keyword(s):  
Feature Extraction ◽  
Compressive Sensing ◽  
Recognition Accuracy ◽  
Recognition Rate ◽  
Low Frequency ◽  
Face Image ◽  
Gender Recognition ◽  
Recognition Method ◽  
Frequency Information ◽  
Learning Machine

An adaptive gender recognition method is proposed in this paper. At first, do multiwavlet transform to face image and get its low frequency information, then do feature extraction to the low frequency information using compressive sensing (CS), use extreme learning machine (ELM) to achieve gender recognition finally. In the process of feature extraction, we use genetic algorithm (GA) to get the number of measurements of CS in order to gain the highest recognition rate, so the method can adaptive access optimal performance. Experimental results show that compared with PDA and LDA, the new method improved the recognition accuracy substantially.

A video prediction approach for animating single face image

2018 ◽  
Vol 78 (12) ◽  
pp. 16389-16410 ◽  
Author(s):  
Yong Zhao ◽  
Meshia Cédric Oveneke ◽  
Dongmei Jiang ◽  
Hichem Sahli
Keyword(s):  
Face Image ◽  
Single Face ◽  
Prediction Approach ◽  
Video Prediction
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