Detection of Facial Parts based on ABLATA

IJCA Proceedings on National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
© 2015 by IJCA Journal
ACEWRM 2015 - Number 2
Year of Publication: 2015
Siddhartha Choubey
Vikas Singh
Abha Choubey

Siddhartha Choubey, Vikas Singh and Abha Choubey. Article: Detection of Facial Parts based on ABLATA. IJCA Proceedings on National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering ACEWRM 2015(2):15-19, May 2015. Full text available. BibTeX

	author = {Siddhartha Choubey and Vikas Singh and Abha Choubey},
	title = {Article: Detection of Facial Parts based on ABLATA},
	journal = {IJCA Proceedings on National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering},
	year = {2015},
	volume = {ACEWRM 2015},
	number = {2},
	pages = {15-19},
	month = {May},
	note = {Full text available}


Facial feature detection from standard 2D RGB images is a well-researched field but out of prolific techniques there isn't amuch efficacy is achieved in the previous studies that can extract feature data even for a low quality images in real time. Hence, we propose an algorithm based on Attribute Based Level Adaptive Algorithm (ABLATA) which use recursive data estimates for this task. While the recursive data estimates learns the relation between patches of the localized segmented blocks and the location of nodes covering the region of the required regional properties of the face.


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