An approach for eye detection using parallel genetic algorithm

Authors:
A. Cagatay Talay
Affiliations:
Department of Computer Engineering, Istanbul Technical University, Istanbul, Turkey
Venue:
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
Year:
2005

Citing 5
Cited 1

Neural Network-Based Face Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Projection based method for segmentation of human face and its evaluation

Pattern Recognition Letters
Distributed Genetic Algorithms

Proceedings of the 3rd International Conference on Genetic Algorithms
Serial and Parallel Genetic Algorithms as Function Optimizers

Proceedings of the 5th International Conference on Genetic Algorithms

Eye localization for face matching: is it always useful and under what conditions?

CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a new reliable method for detecting human eyes in an arbitrary image is devised. The approach is based on searching the eyes with Parallel Genetic Algorithm. As the genetic algorithm is a computationally intensive process, the searching space for possible face regions is limited to possible eye regions so that the required timing is greatly reduced. The algorithm works on complex images without constraints on the background, skin color segmentation and so on. The eye detection process works predictably, fairly, reliably and regardless of the perspective.