欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
以前的研究已经证明,在变化光照条件,甚至多个光源和阴影存在的情况下,对象（尤其是人脸）所形成的图像能够被低维线性子空间有效地表示。Lee证明了存在9个光源方向的统一配置,任一对象在这些统一配置光照方向下的9幅图像所组成的线性子空间,能够很好地表示该对象所有光照情况,并且达到了很好的识别性能。但它要求每一对象在统一配置光照方向下的9幅图像作为训练集,这一要求限制了它在实际中的应用。此外,商图像方法中简单的三维点光源模型无法很好地近似任意光照情况,因此,提出一种基于九维线性子空间的改进的商图像方法,并利用改进后的商图像方法合成对象在统一配置光源方向下的9幅图像,克服了Lee所提方法的不足。该文方法较好地满足了商图像方法的理论前提,从而达到了较好的图像合成和人脸识别性能。
英文摘要：
Previous work has demonstrated that the image variation of many objects（human faces in particular） under variable lighting can be effectively modeled by low-dimensional linear spaces.Lee has proved that there exists configuration of 9 point light source directions,such that,by taking 9 images of an object under these single sources,the resulting subspace is an effective representation for recognition under a wide range of lighting conditions.The method proposed by Lee achieves better recognition performance.However,it requires the 9 images of each object illuminated by lights from the universal configuration to act as training samples,which restricts its applications in face recognition.In addition,3-d subspace in quotient image method doesn＇t suffice to represent all images of an object under varying illuminations.Therefore,an improved method based on image on 9-d linear subspace constructed using 9 images of object under the configuration is presented to overcome these deficiencies.And 9 images of another object under the configuration are generated.The suggested method can meet the theoretical prerequisites of quotient image method,and achieve better image synthesis and face recognition results.
同期刊论文项目
同项目期刊论文
期刊信息
位置：