DocumentCode :
3659704
Title :
Analyzing impact of image scaling algorithms on viola-jones face detection framework
Author :
Himanshu Sharma;Sumeet Saurav;Sanjay Singh;Anil K Saini;Ravi Saini
Author_Institution :
Advanced Electronics System, Academy of Scientific and Industrial Research, CSIR-Central Electronics Research Institute, Pilani, India
fYear :
2015
Firstpage :
1715
Lastpage :
1718
Abstract :
In today´s world of automation, real time face detection with high performance is becoming necessary for a wide number of computer vision and image processing applications. Existing software based system for face detection uses the state of the art Viola and Jones face detection framework. This detector makes use of image scaling approach to detect faces of different dimensions and thus, performance of image scalar plays an important role in enhancing the accuracy of this detector. A low quality image scaling algorithm results in loss of features which directly affects the performance of the detector. Therefore, in this paper we have analyzed the effect of different image scaling algorithms existing in literature on the performance of the Viola and Jones face detection framework and have tried to find out the optimal algorithm significant in performance. The algorithms which will be analyzed are: Nearest Neighbor, Bilinear, Bicubic, Extended Linear and Piece-wise Extended Linear. All these algorithms have been integrated with the Viola and Jones face detection code available with OpenCV library and has been tested with different well know databases containing frontal faces.
Keywords :
"Face","Face detection","Databases","Interpolation","Algorithm design and analysis","Measurement","Real-time systems"
Publisher :
ieee
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on
Print_ISBN :
978-1-4799-8790-0
Type :
conf
DOI :
10.1109/ICACCI.2015.7275860
Filename :
7275860
Link To Document :
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