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» Fractal Transforms and Feature Invariance
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ISVC
2010
Springer
13 years 7 months ago
Bivariate Feature Localization for SIFT Assuming a Gaussian Feature Shape
In this paper, the well-known SIFT detector is extended with a bivariate feature localization. This is done by using function models that assume a Gaussian feature shape for the de...
Kai Cordes, Oliver Müller, Bodo Rosenhahn, J&...
ICCV
2011
IEEE
12 years 9 months ago
Robust Topological Features for Deformation Invariant Image Matching
Local photometric descriptors are a crucial low level component of numerous computer vision algorithms. In practice, these descriptors are constructed to be invariant to a class o...
Edgar Lobaton, Ramanarayan Vasudevan, Ron Alterovi...
ICASSP
2011
IEEE
13 years 22 days ago
Rotation invariant feature extraction from 3-D acceleration signals
In this paper, we propose a method to extract features from three-dimensional acceleration signals. The proposed method is based on the (auto-)correlation matrix of Fourier transf...
Takumi Kobayashi, Kôiti Hasida, Nobuyuki Ots...
ICPR
2008
IEEE
14 years 3 months ago
Redundant DWT based translation invariant wavelet feature extraction for face recognition
Discrete Wavelet Transform (DWT) is sensitive to the translation/shift of input signals, so its effectiveness could be negatively impacted when we encounter translation among sign...
Deqiang Li, Haibo Luo, Zelin Shi
ICMCS
2006
IEEE
171views Multimedia» more  ICMCS 2006»
14 years 3 months ago
New Area Matrix-Based Affine-Invariant Shape Features and Similarity Metrics
A near-planar object seen from different viewpoints results in differently deformed images. Under some assumptions, viewpoint changes can be modeled by affine transformations. Sh...
Carlos Ramon Pantaleon Dionisio, Hae Young Kim