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» Texture classification using invariant ranklet features
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ICCV
2009
IEEE
16 years 2 months ago
Detecting Interpretable and Accurate Scale-Invariant keypoints
This paper presents a novel method for detecting scale invariant keypoints. It fills a gap in the set of available methods, as it proposes a scale-selection mechanism for juncti...
Wolfgang F¨orstner, Timo Dickscheid, Falko Schind...
IJCV
2008
241views more  IJCV 2008»
14 years 9 months ago
Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
Jim Mutch, David G. Lowe
MICCAI
2005
Springer
15 years 10 months ago
The Use of Unwrapped Phase in MR Image Segmentation: A Preliminary Study
This paper considers the problem of tissue classification in 3D MRI. More specifically, a new set of texture features, based on phase information, is used to perform the segmentati...
Pierrick Bourgeat, Jurgen Fripp, Andrew L. Janke, ...
CVPR
2010
IEEE
15 years 1 months ago
Multilinear Feature Extraction and Classification of Multi-Focal Images, With Applications in Nematode Taxonomy
In this paper, we present a 3D X-Ray Transform based multilinear feature extraction and classification method for Digital Multi-focal Images (DMI). In such images, morphological i...
Min Liu, Amit Roy-Chowdhury
92
Voted
CIARP
2009
Springer
15 years 1 months ago
Filter Banks for Hyperspectral Pixel Classification of Satellite Images
Abstract. Satellite hyperspectral imaging deals with heterogenous images containing different texture areas. Filter banks are frequently used to characterize textures in the image ...
Olga Rajadell, Pedro García-Sevilla, Filibe...