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» A Statistical Shape Model without Using Landmarks
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ICIP
2008
IEEE
14 years 10 months ago
Classification of unlabeled point sets using ANSIG
We address two-dimensional shape-based classification, considering shapes described by arbitrary sets of unlabeled points, or landmarks. This is relevant in practice because, in m...
José J. Rodrigues, João M. F. Xavier...
AVBPA
2005
Springer
350views Biometrics» more  AVBPA 2005»
14 years 2 months ago
Pose Invariant Face Recognition Under Arbitrary Illumination Based on 3D Face Reconstruction
Pose and illumination changes from picture to picture are two main barriers toward full automatic face recognition. In this paper, a novel method to handle both pose and lighting c...
Xiujuan Chai, Laiyun Qing, Shiguang Shan, Xilin Ch...
ACCV
2006
Springer
14 years 2 months ago
Statistical Shape Models Using Elastic-String Representations
Abstract. To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or compress) to optimal...
Anuj Srivastava, Aastha Jain, Shantanu H. Joshi, D...
ICIP
2001
IEEE
14 years 10 months ago
Use of a probabilistic shape model for non-linear registration of 3D scattered data
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...
Isabelle Corouge, Christian Barillot