Dual Shot Face Detecting Using Deep Learning

ISBN-13: 9786203027341 / Angielski / Miękka / 68 str.

Suresh Dara; Nishath Ansari; Ch. Madhu Babu

Opis

Deep Learning techniques are a very effective tool in face detection. In this book, deep learning techniques have been used to identify dual faces nothing but by detecting dual shot faces. As the data is emerging day by day with high dimensionality, recognizing dual faces is a major problem. So wasting time on identifying images is like fiddling around. In order to save time and get absolute accuracy, we have implemented a fast preprocessing technique known as convolution neural network along with feature extraction which is used to know relevant features to detect faces/images. By performing this robust method, our intention is to detect dual images in an efficient way. The experiment is performed on extensive good face detecting benchmark datasets like FDDB (Face detection dataset and benchmark), wider face datasets. CNN with FE demonstrates the results with superiority and the accuracy was in-depth analyzed by CNN classifier.

O autorze

Dara, Suresh Suresh Dara currently working as a Professor in the Department of CSE, B V Raju Institute of Technology, Narsapur, India. He has completed his Ph.D. from IIT(ISM) Dhanbad, India in 2015. He has good research publications in reputed journals. His main research interests are Machine learning, Deep learning, Evolutionary Computation, and Data Science.