Statistical learning of evaluation function for ASM/AAM image alignment
Huang, XS; Li, SZ; Wang, YS; Maltoni, D; Jain, AK
2004
发表期刊BIOMETRIC AUTHENTICATION, PROCEEDINGS
卷号3087页码:45-56
文章类型Article
摘要Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. Active Shape Models (ASM)[1] and Active Appearance Models (AAM) [2, 3] provide an important framework for this task. However, an effective method for the evaluation of ASM/AAM alignment results has been lacking. Without an alignment quality evaluation mechanism, a bad alignment cannot be identified and this can drop system performance.
WOS标题词Science & Technology ; Technology
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:000223074400005
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/7953
专题模式识别国家重点实验室_生物识别与安全技术研究
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
2.Microsoft Res Asia, Beijing 100080, Peoples R China
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Huang, XS,Li, SZ,Wang, YS,et al. Statistical learning of evaluation function for ASM/AAM image alignment[J]. BIOMETRIC AUTHENTICATION, PROCEEDINGS,2004,3087:45-56.
APA Huang, XS,Li, SZ,Wang, YS,Maltoni, D,&Jain, AK.(2004).Statistical learning of evaluation function for ASM/AAM image alignment.BIOMETRIC AUTHENTICATION, PROCEEDINGS,3087,45-56.
MLA Huang, XS,et al."Statistical learning of evaluation function for ASM/AAM image alignment".BIOMETRIC AUTHENTICATION, PROCEEDINGS 3087(2004):45-56.
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