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» Feature versus model based noise robustness
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ICIAP
2005
ACM
14 years 8 months ago
A New Efficient Method for Producing Global Affine Invariants
This paper introduces a new efficient way for computing affine invariant features from gray-scale images. The method is based on a novel image transform which produces infinitely m...
Esa Rahtu, Janne Heikkilä, Mikko Salo
3DIM
2003
IEEE
13 years 11 months ago
Surflet-Pair-Relation Histograms: A Statistical 3D-Shape Representation for Rapid Classification
A statistical representation of three-dimensional shapes is introduced, based on a novel four-dimensional feature. The feature parameterizes the intrinsic geometrical relation of ...
Eric Wahl, Ulrich Hillenbrand, Gerd Hirzinger
VLSM
2005
Springer
14 years 1 months ago
Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration
Current state-of-the-art methods in variational image segmentation using level set methods are able to robustly segment complex textured images in an unsupervised manner. In recent...
Georgios Evangelopoulos, Iasonas Kokkinos, Petros ...
ACCV
1998
Springer
14 years 2 days ago
VR Models from Epipolar Images: An Approach to Minimize Errors in Synthesized Images
A new paradigm, the minimization of errors in synthesized images, is introduced to organically combine Computer Vision and Computer Graphics for Virtual Reality applications. Based...
Mikio Shinya, Takafumi Saito, Takeaki Mori, Noriyo...
DICTA
2003
13 years 9 months ago
Background Modeling and Subtraction Using a Local-linear-dependence-based Cauchy Statistical Model
:Many motion object detection algorithms rely on the process of background subtraction, an important technique which is used for detecting changes from a model of the background ...
Ying Ming, Jingjue Jiang, Jun Ming