Face recognition using a hybrid algorithm based on improved PCA

2013 ◽  
pp. 307-310
Keyword(s):  
Face Recognition ◽  
Hybrid Algorithm

Hybrid Algorithm for Face Recognition Using an Evolutionary Software Engineering

2013 ◽  
Vol 423-426 ◽  
pp. 2543-2546 ◽  
Author(s):  
Hector Vargas ◽  
Aldo Martinez
Keyword(s):  
Face Recognition ◽  
Software Engineering ◽  
Hybrid Algorithm ◽  
Phase Correlation ◽  
Evolutionary Strategy ◽  
Evolutionary Development ◽  
Service Robot ◽  
Second Phase ◽  
Engineering Project ◽  
Two Phase

The principal aim was the construction of a face recognition system in order to be implemented in the service robot Donaxi, delimited by the Who is who test which is part of the RoboCups tests set, using an evolutionary development strategy of triple iterations. A two phase hybrid algorithm was developed, the first phase aim was the face detection using the Haar classifiers for face search in an image and the second phase is based on a decision tree whereby the faces characteristics were evaluated by the comparison techniques of phase correlation and histogram comparison. The needed characteristics were identified in order to develop this work as a software engineering project which allowed the algorithm construction and implementation through an evolutionary approach and a personal development process. The evolutionary strategy allowed the prototyping development with functionality and the tracking of the final system construction. A three iterations total was realized during which the needed metrics were registered (time, defects and sizes). The final analysis of results (algorithm and methods) allowed concluding and visualizing the employment advantages of a software engineering formal technique for research and robotics projects realization when improving estimations and software production quality.

Face Recognition Using Hybrid Algorithm

2018 ◽  
Vol 6 (10) ◽  
pp. 460-464
Author(s):  
Balkrishan Jindal ◽  
Tarsem Singh
Keyword(s):  
Face Recognition ◽  
Hybrid Algorithm

Application of Hybrid Algorithm to Real-Time Face Recognition

2013 ◽  
Vol 278-280 ◽  
pp. 1309-1313 ◽  
Author(s):  
Chi Jo Wang ◽  
Juing Shian Chiou ◽  
Yu Chia Hu
Keyword(s):  
Genetic Algorithm ◽  
Principal Component Analysis ◽  
Support Vector Machine ◽  
Face Recognition ◽  
Real Time ◽  
Classification Accuracy ◽  
Hybrid Algorithm ◽  
Principal Component ◽  
Support Vector ◽  
Recognition Systems

This paper proposed the principal component analysis (PCA) and support vector machine-genetic algorithm (SVM-GA) to the real-time face recognition. The integrated scheme aims to apply the SVM-GA method to improve the validity of PCA based real-time recognition systems. Experimental results show that the proposed method simplifies features effectively and obtains a higher classification accuracy.

Face Inversion Effect Emerges Under Critical Configural Discrepancy

2010 ◽  
Vol 69 (3) ◽  
pp. 161-167 ◽  
Author(s):  
Jisien Yang ◽  
Adrian Schwaninger
Keyword(s):  
Face Recognition ◽  
Face Processing ◽  
Underlying Mechanism ◽  
Inversion Effect ◽  
Configural Processing ◽  
Major Contributor ◽  
Face Inversion Effect ◽  
Configural Information ◽  
Face Inversion ◽  
The Face

Configural processing has been considered the major contributor to the face inversion effect (FIE) in face recognition. However, most researchers have only obtained the FIE with one specific ratio of configural alteration. It remains unclear whether the ratio of configural alteration itself can mediate the occurrence of the FIE. We aimed to clarify this issue by manipulating the configural information parametrically using six different ratios, ranging from 4% to 24%. Participants were asked to judge whether a pair of faces were entirely identical or different. The paired faces that were to be compared were presented either simultaneously (Experiment 1) or sequentially (Experiment 2). Both experiments revealed that the FIE was observed only when the ratio of configural alteration was in the intermediate range. These results indicate that even though the FIE has been frequently adopted as an index to examine the underlying mechanism of face processing, the emergence of the FIE is not robust with any configural alteration but dependent on the ratio of configural alteration.

Perceptual Effects and Recollective Experience in Face Recognition

2005 ◽  
Vol 52 (3) ◽  
pp. 224-231 ◽  
Author(s):  
Chrisanthi Nega
Keyword(s):  
Face Recognition ◽  
Recognition Memory ◽  
Congruency Effect ◽  
Facial Recognition ◽  
Memory Systems ◽  
Study Time ◽  
Perceptual Fluency ◽  
Recollective Experience ◽  
Trace Strength ◽  
Size Congruency

Abstract. Four experiments were conducted investigating the effect of size congruency on facial recognition memory, measured by remember, know and guess responses. Different study times were employed, that is extremely short (300 and 700 ms), short (1,000 ms), and long times (5,000 ms). With the short study time (1,000 ms) size congruency occurred in knowing. With the long study time the effect of size congruency occurred in remembering. These results support the distinctiveness/fluency account of remembering and knowing as well as the memory systems account, since the size congruency effect that occurred in knowing under conditions that facilitated perceptual fluency also occurred independently in remembering under conditions that facilitated elaborative encoding. They do not support the idea that remember and know responses reflect differences in trace strength.

Sign in / Sign up

Export Citation Format

Share Document