Face recognition by fusion of local and global matching scores using DS theory: An evaluation with uni-classifier and multi-classifier paradigm
Faces are highly deformable objects which may easily change their appearance over time.
Not all face areas are subject to the same variability. Therefore decoupling the information
from independent areas of the face is of paramount importance to improve the robustness of
any face recognition technique. This paper presents a robust face recognition technique
based on the extraction and matching of SIFT features related to independent face areas.
Both a global and local (as recognition from parts) matching strategy is proposed. The local …
Not all face areas are subject to the same variability. Therefore decoupling the information
from independent areas of the face is of paramount importance to improve the robustness of
any face recognition technique. This paper presents a robust face recognition technique
based on the extraction and matching of SIFT features related to independent face areas.
Both a global and local (as recognition from parts) matching strategy is proposed. The local …
Face Recognition by Fusion of Local and Global Matching Scores using DS Theory: An Evaluation with Uni-classifier and Multi-classifier Paradigm
D Ranjan Kisku, M Tistarelli, J Kanta Sing… - arXiv e …, 2010 - ui.adsabs.harvard.edu
Faces are highly deformable objects which may easily change their appearance over time.
Not all face areas are subject to the same variability. Therefore decoupling the information
from independent areas of the face is of paramount importance to improve the robustness of
any face recognition technique. This paper presents a robust face recognition technique
based on the extraction and matching of SIFT features related to independent face areas.
Both a global and local (as recognition from parts) matching strategy is proposed. The local …
Not all face areas are subject to the same variability. Therefore decoupling the information
from independent areas of the face is of paramount importance to improve the robustness of
any face recognition technique. This paper presents a robust face recognition technique
based on the extraction and matching of SIFT features related to independent face areas.
Both a global and local (as recognition from parts) matching strategy is proposed. The local …
顯示最佳搜尋結果。 查看所有結果