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» Using stereo for object recognition
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CVPR
2000
IEEE
16 years 4 months ago
Towards Automatic Discovery of Object Categories
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Markus Weber, Max Welling, Pietro Perona
EMMCVPR
2005
Springer
15 years 8 months ago
Object Categorization by Compositional Graphical Models
This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered...
Björn Ommer, Joachim M. Buhmann
120
Voted
CVPR
2003
IEEE
15 years 7 months ago
Analyzing Appearance and Contour Based Methods for Object Categorization
Object recognition has reached a level where we can identify a large number of previously seen and known objects. However, the more challenging and important task of categorizing ...
Bastian Leibe, Bernt Schiele
MMS
2006
15 years 2 months ago
View-invariant motion trajectory-based activity classification and recognition
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
137
Voted
CVPR
2008
IEEE
16 years 4 months ago
Beyond sliding windows: Object localization by efficient subwindow search
Most successful object recognition systems rely on binary classification, deciding only if an object is present or not, but not providing information on the actual object location...
Christoph H. Lampert, Matthew B. Blaschko, Thomas ...