Fully Connected Artificial Neural Network based approach for Face Detection |
Author(s): |
| Sachin Bansal , Galgotias College of Engineering and Technology; Shubham Varshney, Galgotias College of Engineering and Technology |
Keywords: |
| Face Detection, Pattern Recognition, Computer Vision, Artificial Neural Networks, Machine Learning |
Abstract |
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In this work, A Neural Network based approach is presented to detect upright frontal faces in an image. The Neural Network used is a fully connected network with 3 layers. This network examines 20x20 sized windows in an image, and decides whether it contains a face or not. For the negative face examples, we use bootstrap method. After an initial small dataset of non-face examples, we add false detections to the training set as the training progresses. Simple heuristics, like merging overlapping and arbitrating between multiple neural networks can further increase the accuracy of the model. |
Other Details |
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Paper ID: IJSRDV4I30219 Published in: Volume : 4, Issue : 3 Publication Date: 01/06/2016 Page(s): 364-366 |
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