Facial Landmark Detection using a Gabor Filter Representation and a Genetic Search Algorithm
Resmana Lim · 2000
This paper proposes a method that finds landmark points on the face image, which is one of the main tasks in a face recognition system. Salient facial landmark detection is important because it enables face normalization and leads to size and orientation invariant face recognition. The presented approach is based on an elastic graph matching technique and uses a genetic algorithm to perform the search. The feasibility of our methodology for detection tasks related to face landmark points detection has been deployed using the ORL face image database. Experiments show satisfactory results under a relatively wide conditions. The GA searching approach is essential because it reduces the search space considerably.