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» Shape Recognition with Spectral Distances
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CVPR
2001
IEEE
15 years 11 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
DICTA
2003
14 years 11 months ago
A New Shape Matching Measure for Nonlinear Distorted Object Recognition
In this paper, we present a new approach for hand-written character and digit recognitions based on shape descriptor and the Hausdorff Context. We start at finding the correspondi...
Sanun Srisuk, Marut Tamsri, Rerkchai Fooprateepsir...
CORR
2010
Springer
144views Education» more  CORR 2010»
14 years 7 months ago
Recognition of Non-Compound Handwritten Devnagari Characters using a Combination of MLP and Minimum Edit Distance
This paper deals with a new method for recognition of offline Handwritten noncompound Devnagari Characters in two stages. It uses two well known and established pattern recognitio...
Sandhya Arora, Debotosh Bhattacharjee, Mita Nasipu...
BMCBI
2010
151views more  BMCBI 2010»
14 years 9 months ago
Using diffusion distances for flexible molecular shape comparison
Background: Many molecules are flexible and undergo significant shape deformation as part of their function, and yet most existing molecular shape comparison (MSC) methods treat t...
Yu-Shen Liu, Qi Li, Guo-Qin Zheng, Karthik Ramani,...
CVPR
2003
IEEE
15 years 11 months ago
Learning a discriminative classifier using shape context distances
For purpose of object recognition, we learn one discriminative classifier based on one prototype, using shape context distances as the feature vector. From multiple prototypes, th...
Hao Zhang 0003, Jitendra Malik