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Titlebook: Biometric Recognition; 6th Chinese Conferen Zhenan Sun,Jianhuang Lai,Tieniu Tan Conference proceedings 2011 The Editor(s) (if applicable) a

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樓主: ossicles
41#
發(fā)表于 2025-3-28 14:40:59 | 只看該作者
Asymmetric Facial Shape Based on Symmetry Assumption this paper, we propose a reflectance model to simulate the interaction of light and the facial surface under the assumption that face is strictly axial symmetry. This model works well not only in fitting the intensities of pixel but also in processing the DC component contained in the image. To com
42#
發(fā)表于 2025-3-28 21:46:28 | 只看該作者
43#
發(fā)表于 2025-3-28 23:10:33 | 只看該作者
44#
發(fā)表于 2025-3-29 03:34:47 | 只看該作者
Real-Time Head Pose Estimation Using Random Regression Forestse robust for head pose estimation, a novel method based on depth images is proposed in this paper. The bilateral symmetry of face is utilized to design a discriminative integral slice feature, which is presented as a 3D vector from the geometric center of a slice to nose tip. Random regression fores
45#
發(fā)表于 2025-3-29 07:31:28 | 只看該作者
46#
發(fā)表于 2025-3-29 14:02:31 | 只看該作者
47#
發(fā)表于 2025-3-29 17:30:12 | 只看該作者
48#
發(fā)表于 2025-3-29 20:42:32 | 只看該作者
Iris Plaque Detection Method Based on Level Set detect iris plaques automatically with computer vision technology. Firstly, we find the alternative regions of the plaques by searching the iris image with a window. In these regions, the mean of the central pixels’ gray level is less than the minimum of the marginal pixels’ gray level. Secondly, w
49#
發(fā)表于 2025-3-30 01:22:32 | 只看該作者
Invariant Hand Biometrics Feature Extraction Former operations must be carried out involving as less user collaboration as possible, in order to avoid intrusive or invasive actions on individuals..This document presents an approach for hand segmentation and feature extraction on scenarios where users can place the hand on a flat surface freel
50#
發(fā)表于 2025-3-30 07:08:23 | 只看該作者
Palm Vein Recognition Based on Three Local Invariant Feature Extraction Algorithmsance. To determine how they can be best used for palm vein recognition system, this paper conducted a comprehensive comparative study of three local invariant feature extraction algorithms: Scale Invariant Feature Transform (SIFT), Speeded-Up Robust Features (SURF) and Affine-SIFT (ASIFT) for palm v
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