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» Minimum Risk Distance Measure for Object Recognition
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LREC
2008
145views Education» more  LREC 2008»
13 years 9 months ago
Borrowing Language Resources for Development of Automatic Speech Recognition for Low- and Middle-Density Languages
In this paper we describe an approach that both creates crosslingual acoustic monophone model sets for speech recognition tasks and objectively predicts their performance without ...
Lynette Melnar, Chen Liu
CVIU
2004
134views more  CVIU 2004»
13 years 7 months ago
The "dead reckoning" signed distance transform
Consider a binary image containing one or more objects. A signed distance transform assigns to each pixel (voxel, etc.), both inside and outside of any objects, the minimum distan...
George J. Grevera
ICCV
2009
IEEE
1824views Computer Vision» more  ICCV 2009»
15 years 21 days ago
Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel
Common visual codebook generation methods used in a Bag of Visual words model, e.g. k-means or Gaussian Mixture Model, use the Euclidean distance to cluster features into visual...
Jianxin Wu, James M. Rehg
ICCV
2005
IEEE
14 years 9 months ago
Object Recognition in High Clutter Images Using Line Features
We present an object recognition algorithm that uses model and image line features to locate complex objects in high clutter environments. Finding correspondences between model an...
Philip David, Daniel DeMenthon
AVBPA
2001
Springer
146views Biometrics» more  AVBPA 2001»
13 years 11 months ago
Robust Face Detection Using the Hausdorff Distance
Abstract. The localization of human faces in digital images is a fundamental step in the process of face recognition. This paper presents a shape comparison approach to achieve fas...
Oliver Jesorsky, Klaus J. Kirchberg, Robert Frisch...