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» Using multiscale top points in image matching
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CVPR
2006
IEEE
15 years 11 months ago
Image Matching Using Photometric Information
Image matching is an essential task in many computer vision applications. It is obvious that thorough utilization of all available information is critical for the success of match...
Michael Kolomenkin, Ilan Shimshoni
ICASSP
2010
IEEE
14 years 9 months ago
Shape matching based on graph alignment using hidden Markov models
We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorith...
Xiaoning Qian, Byung-Jun Yoon
87
Voted
CVPR
2004
IEEE
15 years 11 months ago
Shaping Receptive Fields for Affine Invariance
The Gaussian kernel has played a central role in multi-scale methods for feature extraction and matching. In this paper, a method for shaping the filter using the local image stru...
S. Ravela
87
Voted
ISBI
2007
IEEE
15 years 4 months ago
N-Sift: N-Dimensional Scale Invariant Feature Transform for Matching Medical Images
We present a fully automated multimodal medical image matching technique. Our method extends the concepts used in the computer vision SIFT technique for extracting and matching di...
Warren Cheung, Ghassan Hamarneh
IJCV
1998
121views more  IJCV 1998»
14 years 9 months ago
Continuous Time Matching Constraints for Image Streams
Corresponding image points of a rigid object in a discrete sequence of images fulfil the so-called multilinear constraint. In this paper the continuous time analogue of this const...
Kalle Åström, Anders Heyden