作者: 陳舊 時(shí)間: 2025-3-21 22:32 作者: Macronutrients 時(shí)間: 2025-3-22 03:00
https://doi.org/10.1007/0-387-32186-1y hamming distance between the probe face image and the CPBS. Experimental results on the CMU-PIE and FERET face databases?show that our approach has performance comparable?to state-of-the-art approaches, while not requiring face alignment or landmark fitting.作者: 串通 時(shí)間: 2025-3-22 04:44 作者: 四指套 時(shí)間: 2025-3-22 11:30 作者: FATAL 時(shí)間: 2025-3-22 15:39 作者: 謙虛的人 時(shí)間: 2025-3-22 19:36
An Illumination Invariant Face Recognition Scheme to Combining Normalized Structural Descriptor withD is extracted from the normalized image from SSR. And the face recognition is performed by the similarity of NSD. The experimental results on the Yale Face Database B and Extended Yale Face Database B show that our approach has performance comparable?to state-of-the-art approaches.作者: 追逐 時(shí)間: 2025-3-22 21:32 作者: propose 時(shí)間: 2025-3-23 03:28 作者: 繁重 時(shí)間: 2025-3-23 09:37
A Simplified Active Shape Model for Speeding-Up Facial Features Detectiont to different facial features, the detected results are promoted as well. We also design multiple experiments to verify our hypothesis by varying searching region. Experiments on MBGC databases prove the effect of the proposed simplified ASM model (sASM).作者: nostrum 時(shí)間: 2025-3-23 12:22 作者: 多嘴 時(shí)間: 2025-3-23 17:19
3D Face Recognition Based on Intrinsic Features, similarities are computed by weighed sum of different stripes matching results. Our experiments use the Gavab Database and the results are better than other 3D face recognition algorithms such as MDS method, showing effectiveness of our method.作者: 克制 時(shí)間: 2025-3-23 18:22 作者: Formidable 時(shí)間: 2025-3-23 22:16 作者: Spina-Bifida 時(shí)間: 2025-3-24 03:19
The Republic of the Philippines,third contribution is a method for localizing facial feature points of an unknown image in a new iterative manner, which makes the algorithm robust to initial location. Extensive experiments over images with obvious pose, expression and illumination changes have shown the accuracy and efficiency of our method.作者: 填料 時(shí)間: 2025-3-24 06:45 作者: 愚笨 時(shí)間: 2025-3-24 11:16
https://doi.org/10.1007/978-1-4020-8891-9is simple. The experiments based on two face databases are performed. The results show that, the proposed method can get higher recognition rate in low-resolution and fuzzy face recognition, and can reduce the computing time; it is an effective metric method.作者: 思想靈活 時(shí)間: 2025-3-24 16:42
https://doi.org/10.1007/978-3-319-75263-1 face images are often strongly correlated, spatial weights are smoothed to enforce similar values at adjacent locations. Extensive experiments on benchmark face databases demonstrate that our method is very effective in dealing with face occlusion, corruption, lighting and expression changes, etc.作者: 承認(rèn) 時(shí)間: 2025-3-24 22:45 作者: Obstacle 時(shí)間: 2025-3-25 00:44 作者: Glutinous 時(shí)間: 2025-3-25 05:51
https://doi.org/10.1007/978-1-4020-8891-9ects the latent temporal information and represents dynamic changes occurred in facial muscle actions. The SVM classifier is finally used to predict the expression type. The experiments are carried out on the BU-4DFE database, and the achieved results demonstrate the effectiveness of the proposed method.作者: hauteur 時(shí)間: 2025-3-25 08:25
https://doi.org/10.1007/978-1-4020-8891-9tation based classification with regularized least square (Kernel CRC_RLS, KCRC_RLS) by implicitly mapping the sample into high-dimensional space via kernel tricks. The experimental results on FERET face database demonstrate that Kernel CRC_RLS is effective in classification, leading to promising performance.作者: 獸群 時(shí)間: 2025-3-25 12:00
Robust Face Recognition Based on Spatially-Weighted Sparse Coding face images are often strongly correlated, spatial weights are smoothed to enforce similar values at adjacent locations. Extensive experiments on benchmark face databases demonstrate that our method is very effective in dealing with face occlusion, corruption, lighting and expression changes, etc.作者: 遣返回國 時(shí)間: 2025-3-25 19:35
Non-negative Sparse Representation Based on Block NMF for Face Recognitioneature fusion approach via combining NSR-feature with BNMF-feature. The proposed algorithms are tested on ORL and FERET face databases. Experimental results show that the proposed NSR+BNMF method greatly outperforms two single-feature based methods, namely NSR method and BNMF method.作者: fetter 時(shí)間: 2025-3-25 21:55 作者: 油氈 時(shí)間: 2025-3-26 00:39
LPQ Based Static and Dynamic Modeling of Facial Expressions in 3D Videosects the latent temporal information and represents dynamic changes occurred in facial muscle actions. The SVM classifier is finally used to predict the expression type. The experiments are carried out on the BU-4DFE database, and the achieved results demonstrate the effectiveness of the proposed method.作者: pulse-pressure 時(shí)間: 2025-3-26 04:43
Kernel Collaborative Representation with Regularized Least Square for Face Recognitiontation based classification with regularized least square (Kernel CRC_RLS, KCRC_RLS) by implicitly mapping the sample into high-dimensional space via kernel tricks. The experimental results on FERET face database demonstrate that Kernel CRC_RLS is effective in classification, leading to promising performance.作者: 種族被根除 時(shí)間: 2025-3-26 12:09 作者: Cacophonous 時(shí)間: 2025-3-26 15:35
https://doi.org/10.1007/978-3-319-75263-1t into sub images. Then, standard deviation is used to compute the adaptive weighted fusion of features. Finally, the nearest classifier is adopted for recognition. The experiments on the ORL and Yale face databases demonstrate the effectiveness of the proposed method.作者: narcissism 時(shí)間: 2025-3-26 17:36
https://doi.org/10.1007/0-387-32186-1cision boundaries with the aim to improve recognition accuracy. Experiments on the CMU-PIE database show that?ASLBP outperforms LBP and?SLBP. Although ASLBP is designed to increase the performance of?SLBP, the proposed learning process can be generalized to other LBP variants.作者: 抓住他投降 時(shí)間: 2025-3-26 23:27 作者: 重疊 時(shí)間: 2025-3-27 01:41 作者: homeostasis 時(shí)間: 2025-3-27 08:52 作者: Infect 時(shí)間: 2025-3-27 12:00
Face Recognition Based on Adaptive Soft Histogram Local Binary Patternscision boundaries with the aim to improve recognition accuracy. Experiments on the CMU-PIE database show that?ASLBP outperforms LBP and?SLBP. Although ASLBP is designed to increase the performance of?SLBP, the proposed learning process can be generalized to other LBP variants.作者: 樹木中 時(shí)間: 2025-3-27 16:23 作者: 古董 時(shí)間: 2025-3-27 17:49 作者: 錯(cuò) 時(shí)間: 2025-3-27 23:39 作者: 潔凈 時(shí)間: 2025-3-28 03:43 作者: 動(dòng)機(jī) 時(shí)間: 2025-3-28 06:49
A Method for Efficient and Robust Facial Features Localizationthird contribution is a method for localizing facial feature points of an unknown image in a new iterative manner, which makes the algorithm robust to initial location. Extensive experiments over images with obvious pose, expression and illumination changes have shown the accuracy and efficiency of our method.作者: BRACE 時(shí)間: 2025-3-28 13:24
Two-Dimensional Color Uncorrelated Principal Component Analysis for Feature Extraction with Applicatoperty between color-based features in theory. This makes it sure that the extracted features directly from three color image matrices will be uncorrelated. Finally, experimental results on the AR and FRGC-2 color face databases show that 2DCUPCA achieves better recognition performance than other color face recognition methods.作者: 6Applepolish 時(shí)間: 2025-3-28 17:08 作者: 引起痛苦 時(shí)間: 2025-3-28 19:06
0302-9743 ics, behavioral biometrics and other related topics, and contribute new ideas to research and development of reliable and practical solutions for biometric authentication.978-3-319-02960-3978-3-319-02961-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: expdient 時(shí)間: 2025-3-28 23:45
Normalization for Unconstrained Pose-Invariant 3D Face Recognitioncontains sufficient discriminant information. We propose to map the original 3D coordinates to a depth image using a specific resolution, hence, we can remain the original information in 3D space. 1) Posture correction, we propose 2 simple but effective methods to standardize a face model that is ap作者: 箴言 時(shí)間: 2025-3-29 03:45 作者: 小母馬 時(shí)間: 2025-3-29 09:21
Robust Face Recognition Based on Spatially-Weighted Sparse Codingng problem, robustness of face representation and recognition can be improved. In this paper, we propose to weight spatial locations based on their discriminabilities in sparse coding for robust face recognition. More specifically, we estimate the weights at image locations based on a class-specific作者: Diatribe 時(shí)間: 2025-3-29 12:47 作者: crucial 時(shí)間: 2025-3-29 19:19
An Illumination Invariant Face Recognition Scheme to Combining Normalized Structural Descriptor withn variation, but its performance drop when illumination variation is large. We further analyze the normalized images under large illumination variation and we find that the illumination variation has not been removed thoroughly in these images. Structural similarity is one of image similarity metric作者: 戰(zhàn)勝 時(shí)間: 2025-3-29 22:22
Shape Constraint and Multi-feature Fusion Particle Filter for Facial Feature Point Trackingever, they may easily fail to work, when there exists a change of face posture, expression or shelter. This paper presents a particle filter facial feature point tracking method that based on color and texture features and a shape constraint model. As the nostrils feature point area usually has non-作者: 胖人手藝好 時(shí)間: 2025-3-30 00:24
Robust Marginal Fisher Analysisalgorithm named Robust Marginal Fisher Analysis (RMFA) is proposed, which uses the recent advances on rank minimization. Marginal Fisher Analysis (MFA) is a supervised manifold learning method who perseveres the local manifold information. However, one major shortcoming of MFA is its brittleness wit作者: reperfusion 時(shí)間: 2025-3-30 06:15 作者: GEM 時(shí)間: 2025-3-30 10:52
Complete Pose Binary SIFT for Face Recognition with Pose Variation SIFT based face recognition schemes could resolve the problem of constrained pose variation without such preprocessing. we find that the sift descriptors are robust to off-plane rotation within 25 degree and in-plane rotation. Furthermore, we propose complete pose binary SIFT (CPBS) to address the 作者: generic 時(shí)間: 2025-3-30 12:31
Coupled Kernel Fisher Discriminative Analysis for Low-Resolution Face RecognitionDA) for LR face recognition. Firstly, the high-resolution (HR) and low-resolution (LR) training samples are respectively mapped into two different high-dimensional feature spaces by using kernel functions. Then CKFDA learns two mappings from the kernel images to a common subspace where discriminatio作者: alliance 時(shí)間: 2025-3-30 16:52 作者: LIEN 時(shí)間: 2025-3-30 22:42
A Method for Efficient and Robust Facial Features Localizationture called multi-resolution wrapped features (MRWF), which is robust to scale and poses variation, and can be calculated very efficiently. The second is a new gradient boosting method based on a mixture re-sampling strategy, which allows the model to resistant to imbalance of training samples. The 作者: Ossification 時(shí)間: 2025-3-31 03:21 作者: 多產(chǎn)魚 時(shí)間: 2025-3-31 06:25
Kernelized Laplacian Collaborative Representation Based Classifier for Face RecognitionC_RLS), has attracted notable attention. The extensive experiments demonstrate that the CRC_RLS technique has less complexity than traditional sparse representation based classifier (SRC) but results in better classification performance. However, the existing SRC-like approaches fail to consider the作者: 擁護(hù) 時(shí)間: 2025-3-31 11:11 作者: morale 時(shí)間: 2025-3-31 14:00
Kernel Collaborative Representation with Regularized Least Square for Face Recognitionds optimize an objective function with L1-Norm. SRC consists of two parts: collaborative representation and L1-norm constrain. Based on SRC, collaborative representation based classification with regularized least square (CRC_RLS) is prosed. CRC_RLS is a linear method in nature. There are many varia作者: cringe 時(shí)間: 2025-3-31 17:39
Two-Dimensional Color Uncorrelated Principal Component Analysis for Feature Extraction with Applicatrom color face images. The 2DCUPCA can be used to explore uncorrelated properties among color-based features, which contain minimum redundancy and ensure linear independence among features. Furthermore, the proposed 2DCUPCA provided the theoretical foundations analysis and proved the uncorrelated pr作者: 不透明性 時(shí)間: 2025-4-1 00:37 作者: stroke 時(shí)間: 2025-4-1 03:55
A Novel Coupled Metric Learning Method and Its Application in Degraded Face Recognitionthe supervised locality preserving projection algorithm, and added within-class and between-class information of this algorithm to coupled metric learning, so a novel coupled metric learning method is proposed. This method can effectively extract the nonlinear feature information, and the operation 作者: embolus 時(shí)間: 2025-4-1 08:09 作者: ALERT 時(shí)間: 2025-4-1 12:05
Zhenan Sun,Shiguan Shan,YiLong YinUp-to-date results.State-of-the-art research.Fast-track conference proceedings作者: Osteoarthritis 時(shí)間: 2025-4-1 16:41
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/188179.jpg作者: arrogant 時(shí)間: 2025-4-1 21:28 作者: 濃縮 時(shí)間: 2025-4-2 00:32 作者: 變形詞 時(shí)間: 2025-4-2 05:27
Language Policy and Linguistic Justicecontains sufficient discriminant information. We propose to map the original 3D coordinates to a depth image using a specific resolution, hence, we can remain the original information in 3D space. 1) Posture correction, we propose 2 simple but effective methods to standardize a face model that is ap作者: IRATE 時(shí)間: 2025-4-2 10:12
