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» A New Method for Boundary-Based Shape Matching and Retrieval
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ECCV
2002
Springer
14 years 9 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
APWEB
2003
Springer
14 years 26 days ago
Web-Based Image Retrieval with a Case Study
Abstract. Advances in content-based image retrieval(CBIR)lead to numerous efficient techniques for retrieving images based on their content features, such as colours, textures and ...
Ying Liu, Danqing Zhang
CVPR
2007
IEEE
14 years 9 months ago
Shape Representation and Registration using Vector Distance Functions
This paper introduces a new method for shape registration by matching vector distance functions. The vector distance function representation is more flexible than the conventional...
Hossam E. Abd El Munim, Aly A. Farag
PAMI
2002
143views more  PAMI 2002»
13 years 7 months ago
Lexicon-Driven Segmentation and Recognition of Handwritten Character Strings for Japanese Address Reading
This paper describes a handwritten character string recognition system for Japanese mail address reading on very large vocabulary. The address phrases are recognized as a whole bec...
Cheng-Lin Liu, Masashi Koga, Hiromichi Fujisawa
FGR
2004
IEEE
160views Biometrics» more  FGR 2004»
13 years 11 months ago
A Comparison of Shape Constrained Facial Feature Detectors
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
David Cristinacce, Timothy F. Cootes