Towards a Robust Face Detector
Abstract
In this work we present the preliminary results of a face detection system based on an hybrid approach: it combines typical feature-based techniques with image-based analysis, in order to better exploit the main characteristics available in the input image. Different modules contribute to the face detection task: 1) a template-based approach initially proposed in [12], 2) an edge-extraction technique well suited to deal with illumination-changes, 3) a multiple-classifier specifically designed to discard false positives and 4) a novel method based on a featureless representation of the eye-patterns that further improves the face/non-face discrimination. The experimental results show that the system can localize faces in images with complex background, even in presence of strong illumination changes.
Cite
Text
Nanni et al. "Towards a Robust Face Detector." European Conference on Computer Vision, 2004. doi:10.1007/978-3-540-25976-3_6Markdown
[Nanni et al. "Towards a Robust Face Detector." European Conference on Computer Vision, 2004.](https://mlanthology.org/eccv/2004/nanni2004eccv-robust/) doi:10.1007/978-3-540-25976-3_6BibTeX
@inproceedings{nanni2004eccv-robust,
title = {{Towards a Robust Face Detector}},
author = {Nanni, Loris and Franco, Annalisa and Cappelli, Raffaele},
booktitle = {European Conference on Computer Vision},
year = {2004},
pages = {57-69},
doi = {10.1007/978-3-540-25976-3_6},
url = {https://mlanthology.org/eccv/2004/nanni2004eccv-robust/}
}