Abstract
This paper presents comparison results for the proposed face detection algorithm based on a compact convolutional neural network cascade and modern frontal face detectors. Test results for 16 frontal view face detectors on two public benchmarks datasets are shown. A comparative assessment of the performance of face detection algorithms is made.
Original language | English |
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Pages (from-to) | 99-111 |
Number of pages | 13 |
Journal | Computer Optics |
Volume | 40 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2016 |
Keywords
- Cascade classifiers
- Convolutional neural networks
- Deep learning
- Face detection
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
- Computer Science Applications
- Electrical and Electronic Engineering