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» Face Reconstruction from a Small Number of Feature Points
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ICPR
2000
IEEE
14 years 5 months ago
Face Reconstruction from a Small Number of Feature Points
This paper proposes a method for face reconstruction that makes use of only a small set of feature points. Faces can be modeled by forming linear combinations of prototypes of sha...
Bon-Woo Hwang, Seong-Whan Lee, Volker Blanz, Thoma...
CVPR
2004
IEEE
14 years 6 months ago
Learning Object Detection from a Small Number of Examples: The Importance of Good Features
Face detection systems have recently achieved high detection rates[11, 8, 5] and real-time performance[11]. However, these methods usually rely on a huge training database (around...
Kobi Levi, Yair Weiss
CAD
2004
Springer
13 years 4 months ago
Reconstruction of piecewise planar objects from point clouds
This article discusses the reverse engineering problem of reconstructing objects with planar faces. We will present the main geometric features of a modeling system which are the ...
Martin Peternell, Tibor Steiner
CVPR
2005
IEEE
14 years 4 months ago
A Framework of 2D Fisher Discriminant Analysis: Application to Face Recognition with Small Number of Training Samples
A novel framework called 2D Fisher Discriminant Analysis (2D-FDA) is proposed to deal with the Small Sample Size (SSS) problem in conventional One-Dimensional Linear Discriminan...
Hui Kong, Lei Wang, Eam Khwang Teoh, Jian-Gang Wan...
ECCV
2004
Springer
14 years 6 months ago
Reconstruction of 3-D Symmetric Curves from Perspective Images without Discrete Features
Abstract. The shapes of many natural and man-made objects have curved contours. The images of such contours usually do not have sufficient distinctive features to apply conventiona...
Wei Hong, Yi Ma, Yizhou Yu