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pro vyhledávání: '"Nur Azimah Abdul Rahim"'
Publikováno v:
Indian Journal of Science and Technology. 9
In this paper, we compared the performance of several Least Trimmed Squares (LTS) based methods for face image recognition. The focus was on the problem of severely occluded face images. The performance of random LTS, Fast LTS and GA-LTS (which is ba
The Application of Modified Least Trimmed Squares with Genetic Algorithms Method in Face Recognition
Autor:
Hishamuddin Hashim, Nur Azimah Abdul Rahim, Ismail Musirin, Nor Azura Md Ghani, Norazan Mohamed
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 8:154
Severely occluded face images are the main problem in low performance of face recognition algorithms. In this paper, we apply a new algorithm, a modified version of the least trimmed squares (LTS) with a genetic algorithms introduce by [1]. We focuse