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» From a Set of Shapes to Object Discovery
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ICCV
2007
IEEE
16 years 8 months ago
Image Classification using Random Forests and Ferns
We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
Andrew Zisserman, Anna Bosch, Xavier Muñoz
146
Voted
COMPGEOM
2010
ACM
15 years 11 months ago
Geometric tomography with topological guarantees
We consider the problem of reconstructing a compact 3manifold (with boundary) embedded in R3 from its crosssections with a given set of cutting planes having arbitrary orientation...
Omid Amini, Jean-Daniel Boissonnat, Pooran Memari
150
Voted
CVPR
2008
IEEE
16 years 8 months ago
Reconstructing non-stationary articulated objects in monocular video using silhouette information
This paper presents an approach to reconstruct nonstationary, articulated objects from silhouettes obtained with a monocular video sequence. We introduce the concept of motion blu...
Saad M. Khan, Mubarak Shah
SSD
2005
Springer
173views Database» more  SSD 2005»
15 years 11 months ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras
ICMCS
2010
IEEE
152views Multimedia» more  ICMCS 2010»
15 years 7 months ago
Bipolar grouping
Most affinity-based grouping methods only model the inclusive relation among the data. When the data set contains a significant amount of noise data that should not be included in...
Jiang Xu, Junsong Yuan, Ying Wu