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108
Voted
3DIM
2005
IEEE
15 years 6 months ago
Determining Characteristic Views of a 3D Object by Visual Hulls and Hausdorff Distance
Nowadays, with the exponential growing of 3D object representations in private databases or on the web, it is all the more required to match these objects from some views. To impr...
Adrien Theetten, Jean-Philippe Vandeborre, Mohamed...
99
Voted
ICCV
1995
IEEE
15 years 4 months ago
Locating Objects Using the Hausdorff Distance
The Hausdorff distance is a measure defined between two point sets, here representing a model and an image. The Hausdorff distance is reliable even when the image contains multipl...
William Rucklidge
99
Voted
ICISC
2008
123views Cryptology» more  ICISC 2008»
15 years 2 months ago
The Swiss-Knife RFID Distance Bounding Protocol
Relay attacks are one of the most challenging threats RFID will have to face in the close future. They consist in making the verifier believe that the prover is in its close vicini...
Chong Hee Kim, Gildas Avoine, François Koeu...
85
Voted
BMCBI
2007
82views more  BMCBI 2007»
15 years 24 days ago
Visualization of three-way comparisons of omics data
Background: Density plot visualizations (also referred to as heat maps or color maps) are widely used in different fields including large-scale omics studies in biological science...
Richard Baran, Martin Robert, Makoto Suematsu, Tom...
112
Voted
ICCV
2009
IEEE
1824views Computer Vision» more  ICCV 2009»
16 years 5 months 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