標(biāo)題: Titlebook: Audio- and Video-Based Biometric Person Authentication; Third International Josef Bigun,Fabrizio Smeraldi Conference proceedings 2001 Spri [打印本頁(yè)] 作者: 投降 時(shí)間: 2025-3-21 19:14
書目名稱Audio- and Video-Based Biometric Person Authentication影響因子(影響力)
書目名稱Audio- and Video-Based Biometric Person Authentication影響因子(影響力)學(xué)科排名
書目名稱Audio- and Video-Based Biometric Person Authentication網(wǎng)絡(luò)公開度
書目名稱Audio- and Video-Based Biometric Person Authentication網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Audio- and Video-Based Biometric Person Authentication被引頻次
書目名稱Audio- and Video-Based Biometric Person Authentication被引頻次學(xué)科排名
書目名稱Audio- and Video-Based Biometric Person Authentication年度引用
書目名稱Audio- and Video-Based Biometric Person Authentication年度引用學(xué)科排名
書目名稱Audio- and Video-Based Biometric Person Authentication讀者反饋
書目名稱Audio- and Video-Based Biometric Person Authentication讀者反饋學(xué)科排名
作者: 預(yù)兆好 時(shí)間: 2025-3-21 21:16 作者: 雜役 時(shí)間: 2025-3-22 01:21 作者: Hiatus 時(shí)間: 2025-3-22 07:12
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/164981.jpg作者: Deference 時(shí)間: 2025-3-22 11:39 作者: LATER 時(shí)間: 2025-3-22 16:33 作者: 南極 時(shí)間: 2025-3-22 19:33 作者: Creditee 時(shí)間: 2025-3-23 00:04 作者: DEI 時(shí)間: 2025-3-23 02:58 作者: 打折 時(shí)間: 2025-3-23 08:38
Groups and Clusters of Galaxieson approach, which is shown to be quite accurate. Recognition of single frames against calculated unwrapped textures is carried out using principal component analysis. The system is typically better than 90% correct in its identifications.作者: 冷漠 時(shí)間: 2025-3-23 09:42
Galaxies and How to Observe Themor feature vector based upon the Gabor wavelet transformation of face images and using different orientation and scale local features. Independent Component Analysis (ICA) operates then on the Gabor feature vector subject to sensitivity analysis for the ICA transformation. Finally, the IGF method ap作者: xanthelasma 時(shí)間: 2025-3-23 16:25
Galaxies, Cluster of Galaxies & their dataigned to be robust against changes of facial expressions and viewpoints and are described by Gabor Wavelet filter in the 2D domain and Point Signature in the 3D domain. Localizing feature points in a new image is based on 3D-2D correspondence, their relative position and corresponding Bunch (coverin作者: 帽子 時(shí)間: 2025-3-23 19:35
Galaxies, Cluster of Galaxies & their data hair styles, and so on. This paper proposes a method of face recognition by using support vector machines with the feature set extracted by genetic algorithms. By selecting the feature set that has superior performance in recognizing faces, the use of unnecessary information of the faces can be avo作者: Defense 時(shí)間: 2025-3-24 00:02 作者: 糾纏,纏繞 時(shí)間: 2025-3-24 03:34
Accessories and Optical Quantitiesences between women and men in human face recognition. The women had higher correct answer frequencies then men in all face recognition questions they answered. In difficult questions, those which had fewer correct answers than other questions, the performance of the best skilled women were remarkab作者: 吝嗇性 時(shí)間: 2025-3-24 07:53
https://doi.org/10.1007/978-1-84628-699-5o capture the substantial facial features and reduce computational complexity, we propose to use wavelet transform (WT) to decompose face images and choose the lowest resolution subband coefficients for face representation. Results indicate that our scheme yields accurate recognition on the widely u作者: Aids209 時(shí)間: 2025-3-24 14:05
Catalogs, Data, and Nomenclatureave demonstrated high generalization capabilities in many different tasks, including the object recognition problem. ICA is a feature extraction technique which can be considered a generalization of Principal Component Analysis (PCA). ICA has been mainly used on the problem of blind signal separatio作者: 世俗 時(shí)間: 2025-3-24 17:28 作者: 震驚 時(shí)間: 2025-3-24 22:08 作者: custody 時(shí)間: 2025-3-24 23:25 作者: aggrieve 時(shí)間: 2025-3-25 06:35 作者: fixed-joint 時(shí)間: 2025-3-25 10:25 作者: brassy 時(shí)間: 2025-3-25 12:36 作者: Overthrow 時(shí)間: 2025-3-25 16:57
https://doi.org/10.1007/978-1-84628-671-1ion. Our method is based on the use of color and texture for searching skin-like regions in the images. This is accomplished with connected component analysis in adaptatively thresholded images. Multiple candidate regions appear, so determining whether each one corresponds or not to a face, solves t作者: 虛假 時(shí)間: 2025-3-25 20:44 作者: Conflict 時(shí)間: 2025-3-26 04:02
https://doi.org/10.1007/978-1-84628-671-1oor environment. The complete system contains two parts: the face locator and the face tracker. We will only describe the face locator. Face hypothesis are obtained combining a pyramidal greylevel template matching and a geometrical measure based on the facial feature organization. Classification to作者: myelography 時(shí)間: 2025-3-26 05:11 作者: 錯(cuò)誤 時(shí)間: 2025-3-26 10:29
https://doi.org/10.1007/3-540-45344-X3D; Access Control; Audio; Authentication; Biometric Person Authentication; Face Recognition; Fingerprints作者: 不能約 時(shí)間: 2025-3-26 13:28
978-3-540-42216-7Springer-Verlag Berlin Heidelberg 2001作者: thrombosis 時(shí)間: 2025-3-26 19:27
Face Identification and Verification via ECOChe training phase the client set is repeatedly divided into two ECOC specified sub-sets (super-classes) to train a set of binary classifiers. The output of the classifiers defines the ECOC feature space, in which it is easier to separate transformed patterns representing clients and impostors. As a 作者: Middle-Ear 時(shí)間: 2025-3-26 21:05 作者: 國(guó)家明智 時(shí)間: 2025-3-27 02:15 作者: FUSE 時(shí)間: 2025-3-27 05:51 作者: 全神貫注于 時(shí)間: 2025-3-27 10:28
Face Recognition Using Support Vector Machines with the Feature Set Extracted by Genetic Algorithms hair styles, and so on. This paper proposes a method of face recognition by using support vector machines with the feature set extracted by genetic algorithms. By selecting the feature set that has superior performance in recognizing faces, the use of unnecessary information of the faces can be avo作者: 兩種語(yǔ)言 時(shí)間: 2025-3-27 15:08
Comparative Performance Evaluation of Gray-Scale and Color Information for Face Recognition Tasksrmation improves performance for detecting and locating eyes and faces, respectively, and that there is no significant difference in recognition accuracy between full color and gray-scale face imagery. Our experiments have also shown that the eigenvectors generated by the red channel lead to improve作者: pericardium 時(shí)間: 2025-3-27 19:15 作者: 名詞 時(shí)間: 2025-3-27 23:46
Face Recognition by Auto-associative Radial Basis Function Networko capture the substantial facial features and reduce computational complexity, we propose to use wavelet transform (WT) to decompose face images and choose the lowest resolution subband coefficients for face representation. Results indicate that our scheme yields accurate recognition on the widely u作者: Arthr- 時(shí)間: 2025-3-28 03:45
Face Recognition Using Independent Component Analysis and Support Vector Machines ?ave demonstrated high generalization capabilities in many different tasks, including the object recognition problem. ICA is a feature extraction technique which can be considered a generalization of Principal Component Analysis (PCA). ICA has been mainly used on the problem of blind signal separatio作者: 盡忠 時(shí)間: 2025-3-28 07:28
A Comparison of Face/Non-face Classiffiers an evaluation protocol for face/non-face classification and provide experimental comparison of six algorithms. The overall best performing algorithms are the baseline template matching algorithms. Our results emphasize the importance of preprocessing.作者: CHIP 時(shí)間: 2025-3-28 14:26
Using Mixture Covariance Matrices to Improve Face and Facial Expression Recognitionsof training samples for each pattern is significantly less than the dimension of the feature space. This statement implies that the sample group covariance matrices often used in the Gaussian maximum probability classifier are singular. A common solution to this problem is to assume that all groups 作者: flutter 時(shí)間: 2025-3-28 17:16 作者: 衰老 時(shí)間: 2025-3-28 19:23 作者: averse 時(shí)間: 2025-3-28 23:40
Robust Face Detection Using the Hausdorff Distanceroach to achieve fast, accurate face detection that is robust to changes in illumination and background. The proposed method is edge-based and works on grayscale still images. The . is used as a similarity measure between a general face model and possible instances of the object within the image. Th作者: Defense 時(shí)間: 2025-3-29 04:43
Multiple Landmark Feature Point Mapping for Robust Face Recognitionre points is performed to achieve the best fit among feature points of two given face images. A set of nine feature points is selected during image registration, which represents the approximated landmark points of the set of face images of the registered person. During recognition, a 5x5 neighborho作者: Inferior 時(shí)間: 2025-3-29 09:35 作者: Trabeculoplasty 時(shí)間: 2025-3-29 12:09 作者: 阻塞 時(shí)間: 2025-3-29 19:30
A Face Location Algorithm Robust to Complex Lighting Conditionsoor environment. The complete system contains two parts: the face locator and the face tracker. We will only describe the face locator. Face hypothesis are obtained combining a pyramidal greylevel template matching and a geometrical measure based on the facial feature organization. Classification to作者: 鴿子 時(shí)間: 2025-3-29 20:10 作者: 憤怒歷史 時(shí)間: 2025-3-30 00:03 作者: 犬儒主義者 時(shí)間: 2025-3-30 07:34 作者: critique 時(shí)間: 2025-3-30 09:45
https://doi.org/10.1007/978-1-84628-671-1he detection problem and allows a straightforward segmentation. Then, the main facial features are located using accumulative projections. We present some results on a database of typical TV and videoconference images. Finally, we extract some conclusions and advance our future work.作者: Kinetic 時(shí)間: 2025-3-30 13:53
https://doi.org/10.1007/978-1-84628-671-1 face or non-face is realized by linear discriminant analysis (LDA) on the principal components analysis (PCA) of a 26-dimensional feature vector extracted from the face hypothesis. Experiments on 1500 images in a cluttered background with 12 lighting conditions are very encouraging.作者: Overstate 時(shí)間: 2025-3-30 16:46
Active Galaxies Through the Telescope,cipal Component Analysis allows to represent faces in a low-dimensional space, defined by basis functions that are adapted to training sets of facial expressions. We show how to select the best basis functions for facial expression recognition, providing a good linear discrimination: results prove the robustness of the recognition method.作者: glisten 時(shí)間: 2025-3-30 23:49
Galaxies and How to Observe Them. The feasibility of the new IGF method has been successfully tested on face recognition using 600 FERET frontal face images corresponding to 200 subjects whose facial expressions and lighting conditions may vary.作者: Expediency 時(shí)間: 2025-3-31 03:34 作者: 駕駛 時(shí)間: 2025-3-31 06:59 作者: ITCH 時(shí)間: 2025-3-31 11:02 作者: 滑稽 時(shí)間: 2025-3-31 14:36 作者: fluffy 時(shí)間: 2025-3-31 17:56
Directional Properties of Colour Co-occurrence Features for Lip Location and Segmentation HSV colour space. The method has been tested on the XM2VTS database, with a high success rate. The use of hue and textural features to do the processing makes the algorithm robust under various lighting conditions.作者: GLIB 時(shí)間: 2025-3-31 22:14
Galaxies and How to Observe Them space as a whole does not improve performance on face recognition but that when one considers monochrome channels on their own the red channel could benefit both learning the eigenspace and serving as input to project on it.作者: Ancestor 時(shí)間: 2025-4-1 03:25
Accessories and Optical Quantitiesvious findings that hair style and facial expressions degrades the face recognition performance of humans significantly. The reported results concern 1838 individuals and the study was effectuated by means of Internet.作者: Dappled 時(shí)間: 2025-4-1 07:06 作者: 未成熟 時(shí)間: 2025-4-1 10:42
