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» Highly Discriminative Invariant FEatures for Image Matching
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ICCV
1999
IEEE
16 years 3 months ago
Object Recognition from Local Scale-Invariant Features
Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999) An object recognition system has been developed that uses a new class of local image features. The fea...
David G. Lowe
CVPR
1997
IEEE
15 years 6 months ago
Feature Tracking from an Image Sequence Using Geometric Invariants
In this paper two new feature tracking algorithms are proposed. In the first algorithm, a perspective camera model is used. Making use of the projective inuariant of Barrett, and ...
Hung-Tat Tsui, Zhong-Ying Zhang, Shao-Hua Kong
115
Voted
ICPR
2000
IEEE
15 years 6 months ago
Fractal Transforms and Feature Invariance
In this paper, fractal transforms are employed with the aim of image recognition. It is known that such transforms are highly sensitive to distortions like a small shift of an ima...
Ben A. M. Schouten, Paul M. de Zeeuw
CVPR
2004
IEEE
16 years 3 months ago
A Discriminative Feature Space for Detecting and Recognizing Faces
In this paper, we introduce a novel discriminative feature space which is efficient not only for face detection but also for recognition. The face representation is based on local...
Abdenour Hadid, Matti Pietikäinen, Timo Ahone...
118
Voted
IMAGING
2004
15 years 3 months ago
Tensor Based Feature Detection for Color Images
Extending differential-based operations to color images is hindered by the multi-channel nature of color images. The derivatives in different channels can point in opposite direct...
Joost van de Weijer, Theo Gevers