[PDF] Top 20 Face Recognition Using Sparse Representation

... understanding, face recognition has recently received significant attention, especially during the past several ...machine recognition systems have reached a certain level of maturity, their success ... See full document

... sparsest representation therefore automatically discriminates between the various classes present in the training ...idea using face recognition as an example. Sparse ... See full document

... in face images, test sample and adaptive dictionary are mapped to high-dimensional feature space using kernel function, we classify the test sample in the kernel space instead of the original ...of ... See full document

... In this paper, we demonstrate that not all the SIFT keypoints are useful to describe the content of radar images. It is wise and beneficial to reduce them by computing only those located in the target area. To achieve ... See full document

... for face recognition was carried out by Cutler ...96% recognition accuracy was ...different face states, and light ...images using support vector machine ...simulations using a ... See full document

... years, sparse representation (SR) method has been successfully applied to the study of face ...extended sparse representation to kernel sparse representation ...the ... See full document

... Abstract— Face recognition system is put-fourth a significant challenge to the pattern recognition ...makes face recognition more difficult. Recent research shows that sparse ... See full document

... the face iden- ...with sparse representation to improve the performance of ...histogram representation with Linear Discriminant Analy- sis (LDA) to extract domain invariant ... See full document

... target recognition, the classifying results under differ- ent features are fused to make the final classifier ...addition, sparse representation which closely bonds the feature extraction with the ... See full document

... A number of papers have been published on SIFT- based face recognition[1]. However, all of them were applied on prealigned face images. But the most significant feature of SIFT matching is that, it ... See full document

... quality using some image enhancement ...2-D face recognition based on spectroface representations through setting up the parameters involved and enhance the quality of the raw input image ... See full document

... In this paper, we presented a novel speech feature extraction framework which is robust to noise with di ff erent SNR intensities. This approach is primarily data driven and is able to extract robust speech feature called ... See full document

... Fingerprint recognition is the most widely used biometric to identify ...patch-based sparse representation introduced to improve the reliable feature extraction and recognition as well as ... See full document

... for face recognition by reducing dimensions of input data using matrix representation and after that using Singular Value Decomposition (SVD) to get the projection matrix, to project ... See full document

... identity recognition, attendance system, secure financial services, health care, electronic commerce, telecommunication, government, ...compression using Discrete Cosine transform, Image separation ... See full document

... With the growing of training samples, running the LRC algorithm takes more time. In addition, more redundant information may be brought in by the growth, resulting in a negative impact on the accuracy of face ... See full document

... palmprint recognition using a sparse representation of features obtained from Bank of Binarized Statistical Image Features ...classified using sparse representation ... See full document

... human face photos make manipulations ...human face images a really important research problem and enable many real world ...content-based face image retrieval. Given a query face image, ... See full document

... correct recognition rate for each expression, Table 2 lists the fuzzy matrix of seven facial expression recognition results when KSRC perform best ...correct recognition rate of each ...correct ... See full document

... detect face and recognise the facial expressions without any ...in face to face communication. Automatic recognition of facial expression recognition is an interesting and challenging ... See full document