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» Data and Model-Driven Selection using Color Regions
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SIBGRAPI
2006
IEEE
14 years 1 months ago
Exploratory visualization based on multidimensional transfer functions and star coordinates
Exploration and analysis of multivariate data play an important role in different domains. This work proposes a simple interface prototype that allows a human user to visually expl...
Alex Laier Bordignon, Rener Castro, Hélio L...
PAMI
2011
13 years 2 months ago
Color Constancy Using Natural Image Statistics and Scene Semantics
—Existing color constancy methods are all based on specific assumptions such as the spatial and spectral characteristics of images. As a consequence, no algorithm can be conside...
Arjan Gijsenij, Theo Gevers
ISMAR
2003
IEEE
14 years 28 days ago
SenseShapes: Using Statistical Geometry for Object Selection in a Multimodal Augmented Reality System
We introduce a set of statistical geometric tools designed to identify the objects being manipulated through speech and gesture in a multimodal augmented reality system. SenseShap...
Alex Olwal, Hrvoje Benko, Steven Feiner
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
TIP
2008
261views more  TIP 2008»
13 years 7 months ago
CTex - An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence
Abstract--This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in ...
Dana Elena Ilea, Paul F. Whelan