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» Learning Feature Distance Measures for Image Correspondences
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RAS
2010
216views more  RAS 2010»
13 years 6 months ago
6D scan registration using depth-interpolated local image features
This paper describes a novel registration approach that is based on a combination of visual and 3D range information. To identify correspondences, local visual features obtained f...
Henrik Andreasson, Achim J. Lilienthal
ICCV
1995
IEEE
13 years 11 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
CVPR
2010
IEEE
14 years 2 months ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal
RIAO
2007
13 years 9 months ago
Similarity Beyond Distance Measurement
One of the keys issues to content-based image retrieval is the similarity measurement of images. Images are represented as points in the space of low-level visual features and mos...
Feng Kang, Rong Jin, Steven C. H. Hoi
CVPR
2008
IEEE
14 years 10 months ago
Boosted deformable model for human body alignment
This paper studies image alignment, the problem of learning a shape and appearance model from labeled data and efficiently fitting the model to a non-rigid object with large varia...
Xiaoming Liu 0002, Ting Yu, Thomas Sebastian, Pete...