scholarly journals A Literature Survey of Facial Recognition of Identical Twins

IJARCCE ◽  
2015 ◽  
pp. 305-307
Author(s):  
Ni shu ◽  
Navdeep Kaur
2020 ◽  
Vol 9 (06) ◽  
pp. 25070-25074
Author(s):  
Chandrakala G Raju ◽  
Rahul S Hangal ◽  
Shashidhara A R ◽  
Srinatha T D

Facial recognition algorithm should be able to work even when the similar looking people are found i.e. also in the extreme case of identical looking twins. An experimental data set which contains 40 images of 20 pairs of twins collected randomly from the internet. The training is done with the selected images of the twins using different training algorithms and inbuilt functions available. The extracted features are stored over the Amazon public cloud. As a part of testing phase random images from the dataset trained are selected and upon running it over the system we get the features of those images which then will be compared by extracting the features already stored in Amazon cloud. The stored values and the current image features are compared and result will be displayed on the GUI. Identical twin’s facial recognition system uses the machine learning, image processing algorithms and deep learning algorithms. Regardless of the conditions of the images acquired, distinguishing identical twins is significantly harder than distinguishing faces that are not identical twins for all the algorithms.


Author(s):  
Anantha Murthy ◽  
Nethravathi P. S.

Background/Purpose: Yakshagana is a theatre style that combines varieties of make-up styles and dressing styles depending on the type of character or role that is to be played on the stage. This article briefly discusses certain areas of Yakshagana where technology can be used for object detection and make-up recognition to classify and identify the characters. Objective: The main objective of this literature survey is to summarize the techniques used to identify different objects in a Yakahagana image & to identify the different makeup styles to recognize the type of characters. This paper also recommends the technical methods that can be used to promote Yakshagana. Methodology: Information is collected from various scholarly articles, books, and web pages. Findings/Results: Based on the analysis of the papers reviewed, it is observed that, no much work is carried out in the field of object detection & make-up detection in Yakshagana. This survey paper recommends techniques and the methodology that can be applied to the Yakshanaga field to identify and classify the objects and detect the patterns in makeup in Yakshagana roles. Limitations: The study is limited to crown & jewelry detection and pattern recognition in facial makeup in Yakshagana Originality: This paper focuses on the summary of techniques used to identify the objects, facial recognition, and pattern in make-up detection. Paper Type: A Literature survey paper on techniques and methods used to meet the required objectives.


Author(s):  
John McCauley ◽  
Sobhan Soleymani ◽  
Brady Williams ◽  
John Dando ◽  
Nasser Nasrabadi ◽  
...  

Author(s):  
Matthew T. Pruitt ◽  
Jason M. Grant ◽  
Jeffrey R. Paone ◽  
Patrick J. Flynn ◽  
Richard W. Vorder Bruegge

Author(s):  
Chrisanthi Nega

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.


1974 ◽  
Vol 19 (10) ◽  
pp. 704-705
Author(s):  
EARL HUNT
Keyword(s):  

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