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» Learning Feature Distance Measures for Image Correspondences
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RAS
2010
216views more  RAS 2010»
15 years 2 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
15 years 7 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
15 years 10 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
15 years 5 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
16 years 6 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...