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» Mining and cropping common objects from images
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DEXA
2001
Springer
112views Database» more  DEXA 2001»
15 years 2 months ago
An Information-Driven Framework for Image Mining
Image mining systems that can automatically extract semantically meaningful information (knowledge) from image data are increasingly in demand. The fundamental challenge in image m...
Ji Zhang, Wynne Hsu, Mong-Li Lee
CVPR
2009
IEEE
16 years 4 months ago
Shape Discovery from Unlabeled Image Collections
Can we discover common object shapes within unlabeled multi-category collections of images? While often a critical cue at the category-level, contour matches can be difficult to...
Yong Jae Lee (University of Texas at Austin), Kris...
CGA
2007
14 years 9 months ago
From Abstract Painting to Information Visualization
abstract painting and practice can benefit information visualization—even though the two fields have significantly different objectives. This comparison reflects the spirit of ...
Kang Zhang
ECCV
2008
Springer
15 years 11 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden
ICCV
2005
IEEE
15 years 3 months ago
Shape from Symmetry
We describe a technique for reconstructing probable occluded surfaces from 3-D range images. The technique exploits the fact that many objects possess shape symmetries that can be...
Sebastian Thrun, Ben Wegbreit