Object recognition based on photometric alignment using RANSAC
Object recognition based on photometric alignment using RANSAC
复制标题
使用 RANSAC 基于光度对准的物体识别
DOI：
10.1109/cvpr.2003.1211357
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
Yoichi Sato
中科院分区：
文献类型：
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作者：
Takahiro Okabe;Yoichi Sato
针对光照变化条件下的目标识别问题，提出了一种基于光度对齐的目标识别方法。光度学对齐是一种已知的技术，它通过使用三个基本图像对远点光源下的漫反射组件和附加阴影进行建模。然而，为了在测试图像中可靠地再现这些分量，我们必须考虑测试图像中的异常值，例如镜面反射分量和阴影。因此，我们提出的方法利用了随机样本一致性(RANSAC)，该方法已被成功地用于基图估计。在本研究中，我们使用耶鲁大学的人脸数据库B进行了实验，证实了光度对齐和RANSAC的结合为不同光照条件下的目标识别提供了一种简单而有效的方法。
For object recognition under varying illumination conditions, we propose a method based on photometric alignment. The photometric alignment is known as a technique that models both diffuse reflection components and attached shadows under a distant point light source by using three basis images. However, in order to reliably reproduce these components in a test image, we have to take into account outliers such as specular reflection components and shadows in the test image. Accordingly, our proposed method utilizes Random Sample Consensus (RANSAC), which has been used successfully for estimating basis images. In the present study, we have conducted experiments using the Yale Face Database B and confirmed that a combination of the photometric alignment and RANSAC provides a simple but effective method for object recognition under varying illumination conditions.
基于特征脸的人脸建模与识别
DOI：
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发表时间：
2003
期刊：
IPSJ SIG Technical Reports Vol. CVIM-139
影响因子：
--
作者：
T.;Shakunaga;F.;Sakaue;Y.;Matsubara
通讯作者：
Matsubara