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» Flexible Spatial Models for Grouping Local Image Features
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NECO
2010
129views more  NECO 2010»
13 years 6 months ago
A Two-Layer Model of Natural Stimuli Estimated with Score Matching
We consider a hierarchical two-layer model of natural signals in which both layers are learned from the data. Estimation is accomplished by Score Matching, a recently proposed est...
Urs Köster, Aapo Hyvärinen
CIVR
2007
Springer
231views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Classification of video events using 4-dimensional time-compressed motion features
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...
Alexander Haubold, Milind R. Naphade
PAMI
2007
194views more  PAMI 2007»
13 years 7 months ago
Robust Object Tracking Via Online Dynamic Spatial Bias Appearance Models
This paper presents a robust object tracking method via a spatial bias appearance model learned dynamically in video. Motivated by the attention shifting among local regions of a ...
Datong Chen, Jie Yang
SCIA
2009
Springer
261views Image Analysis» more  SCIA 2009»
14 years 3 days ago
Dense and Deformable Motion Segmentation for Wide Baseline Images
In this paper we describe a dense motion segmentation method for wide baseline image pairs. Unlike many previous methods our approach is able to deal with deforming motions and lar...
Juho Kannala, Esa Rahtu, Sami S. Brandt, Janne Hei...
APGV
2005
ACM
132views Visualization» more  APGV 2005»
14 years 1 months ago
De-emphasis of distracting image regions using texture power maps
We present a post-processing technique that selectively reduces the salience of distracting regions in an image. Computational models of attention predict that texture variation i...
Sara L. Su, Frédo Durand, Maneesh Agrawala