The proposed algorithm is composed of two phases; the occlusion detection phase and the selective LNMF-based recognition phase. We use local approach to ...
In this paper, we propose a novel occlusion invariant face recognition algorithm based on Selective Local Non-negative Matrix Factorization (S-LNMF) ...
Abstract. In this paper, we propose a novel occlusion invariant face recognition algorithm based on Selective Local Nonnegative Matrix Factorization.
A near real-time and novel face recognition method to recognize the occluded and low-resolution face images and outperforms recent state-of-the-art face ...
In this paper, we propose a novel occlusion invariant face recognition algorithm based on Selective Local Non-negative Matrix Factorization (S-LNMF) ...
This paper describes the different techniques and databases to handle the partial occlusion problem and features features around the eyes, nose, ...
Oct 22, 2024 · In this paper, we propose a novel occlusion invariant face recognition algorithm based on Selective Local Non-negative Matrix Factorization ...
In this paper, we propose a novel occlusion invariant face recognition algorithm based on Selective Local Nonnegative Matrix Factorization (S-LNMF) ...
In this paper, we propose a novel occlusion invariant face recognition algorithm based on Selective Local Nonnegative Matrix Factorization (S-LNMF) ...
Occlusion invariant face recognition using selective local non ...
www.fid-move.de › BLSE:RN235245886
Occlusion Invariant Face Recognition Using Selective LNMF Basis Images. Oh, Hyun Jun / Lee, Kyoung Mu / Lee, Sang Uk et al. | Springer Verlag | 2006 ; Occlusion ...