… (Volume-SIFT) to remove unreliable keypoints detected by SIFT algorithm is … face boundaries,
we propose Partial-Descriptor-SIFT (PDSIFT) approach. Comparisons between feature …

… It is concerned with the problem of correctly identifying face … using SIFT features [4] for the
recognition process. The new technique is compared with well-established face recognition …

… to evaluate the use of the SIFT feature extraction technique … face recognition and gender
detection. The results showed an accuracy of 65% for SIFT with an SVM classifier, while the use …

… using SIFT for face recognition [7], [8], they simply applied the … SIFT algorithm directly for
face recognition issues. It is known that SIFT algorithm was designed for general object detection…

… of SIFT features on a large scale under different conditions. Therefore, we propose to apply
SIFT features on face recognition … Meanwhile, as SIFT can detect person-specific features in …

… an experimental fully automatic face recognition system which will … SIFT based Kepenekci
approach for the face recognition, because it outperforms a number of efficient face recognition …

… tested on ESSEX face database and next on own segmented face database using SIFT-PCA.…
in combination with SIFT-PCA has a positive effect for face recognition and accelerates the …

… Face recognition methods can be divided into two major categories, appearance-… feature-based
method. In this paper, the authors have presented the feature-based method for 2D face …

… tasks, limits its application to face recognition problems. In this work we propose a … ranking
of SIFT features that can be used to prune the number of SIFT features for face recognition. …

… a fast and light-weight face recognition algorithm using local feature points for mobile
device. To recognize face accurately, we adopt Gabor-LBP histogram and SIFT-based local …