Description: 2DPCA算法,在对话框上可以选择不同的维数进行人脸图像重构,简单实用。-2DPCA algorithm, in the dialog box can choose a different dimension to facial image reconstruction, simple and practical. Platform: |
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Description: 基于3D人脸重建的人脸识别技术应用研究,一篇硕士论文-3D facial reconstruction based on face recognition technology applied research, a master s thesis Platform: |
Size: 3551232 |
Author:who |
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Description: candide人脸模型是三维人脸重建中一个重要的模型,本文档设计了candide三维人脸建模。在vc++环境下。-Candide face model are three-dimensional facial reconstruction of an important model, this document was designed three-dimensional face modeling Candide. In vc++ environment. Platform: |
Size: 4096 |
Author:一心 |
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Description: 人脸自动标准在三维人脸重建中是一个重要的方向,asm模型在其中的分量十分重要,此asm模型的代码能自动建立模型-Face standard in three-dimensional facial reconstruction is an important direction, asm model in which the weight is very important that this asm code model can automatically set up the model Platform: |
Size: 175104 |
Author:一心 |
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Description: 基于激光扫描的人脸软组织三维重建研究,采用激光对人脸进行扫描!-Based on laser scanning of the human face three-dimensional reconstruction of soft tissue using laser scanning for facial! Platform: |
Size: 330752 |
Author:kk999888 |
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Description: 本文主要进行的工作是,基于单张照片信息进行脸部三维重建方法的讨论。-In this paper, the work carried out is that a single photo-based three-dimensional facial reconstruction method of the information discussed. Platform: |
Size: 2341888 |
Author:Alex |
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Description: 利用主成分分析的特征子空间进行人脸特征提取,通过人脸重建进行人脸识别-Feature subspace using principal component analysis for facial feature extraction for face recognition, face reconstruction Platform: |
Size: 74752 |
Author:孙旭光 |
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Description: 是使用投影结构光重建人脸,并生成人脸动画的典型实例,效果很好。-Projector structured light reconstruction of the face, and Health typical examples of adult facial animation, good results. Platform: |
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Author:小魏 |
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Description: 人脸识别技术作为生物体特征识别技术的重要组成部分,在近些年来已经发展成为计算机视觉和模式识别领域的研究热点。本实验是基于K-L变换的主成分分析法(PCA)在人脸识别中的应用,在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真,并对样本图像进行了重构。本实验在ORL人脸库的基础上,选用每人前5张图片,共计40人200幅样本图像,通过快速PCA算法将10304维的样本特征向量降至20维,并实现了基于主分量的人脸重建,验证了PCA算法在高维数据降维处理与特征提取方面的有效性。-Facial recognition technology as a biological feature recognition technology is an important part of, in recent years has become a hot research topic in the field of computer vision and pattern recognition.This experiment is based on K- L transform principal component analysis (PCA) in the application of face recognition, based on ORL face validation of rapid PCA algorithm was realized by Matlab simulation, and reconstructed the sample image., on the basis of the experiment on ORL face , choose top 5 pictures each, a total of 40 people 200 sample image, through rapid PCA algorithm the sample feature vector of 10304 d down to 20 d, and implements the face reconstruction based on principal component, PCA algorithm is verified in the high-dimensional data processing and feature extraction is effective to dimension reduction. Platform: |
Size: 20067328 |
Author:季科 |
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Description: 实现人脸的三维重建,里面txt富有说明 数据保存在data文件夹中(Achieve facial 3 d reconstruction, TXT rich that data stored in the data folder) Platform: |
Size: 40960 |
Author:Yorkksd
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