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» Scale Invariance and Noise in Natural Images
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ICASSP
2011
IEEE
12 years 9 months ago
Denoising sparse noise via online dictionary learning
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoul...
ICIAR
2009
Springer
13 years 11 months ago
Scale Invariant Feature Transform with Irregular Orientation Histogram Binning
The SIFT (Scale Invariant Feature Transform) descriptor is a widely used method for matching image features. However, perfect scale invariance can not be achieved in practice becau...
Yan Cui, Nils Hasler, Thorsten Thormählen, Ha...
ICMLA
2009
13 years 3 months ago
Exploring Scale-Induced Feature Hierarchies in Natural Images
Recently there has been considerable interest in topic models based on the bag-of-features representation of images. The strong independence assumption inherent in the bag-of-feat...
Jukka Perkiö, Tinne Tuytelaars, Wray L. Bunti...
WISA
2004
Springer
13 years 10 months ago
Content-Based Synchronization Using the Local Invariant Feature for Robust Watermarking
This paper addresses the problem of content-based synchronization for robust watermarking. Synchronization is a process of extracting the location to embed and detect the signature...
Hae-Yeoun Lee, Jong-Tae Kim, Heung-Kyu Lee, Young-...
ECCV
2006
Springer
14 years 7 months ago
Top-Points as Interest Points for Image Matching
We consider the use of top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offset as well ...
Bram Platel, Evguenia Balmachnova, Luc Florack, Ba...