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» Identifying Objects Using Cluster and Concept Analysis
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ICCV
1999
IEEE
16 years 1 months ago
Resolution Invariant Surfaces for Panoramic Vision Systems
A family of axially symmetric mirror shapes are proposed for panoramic imaging. These shapes keep the resolution in the image invariant to changes in elevation in the scene. In ot...
Tanya L. Conroy, John B. Moore
74
Voted
SMI
2005
IEEE
15 years 4 months ago
Curvature Maps for Local Shape Comparison
— The ability to identify similarities between shapes is important for applications such as medical diagnosis, object registration and alignment, and shape retrieval. In this pap...
Timothy Gatzke, Cindy Grimm, Michael Garland, Stev...
80
Voted
TIP
1998
134views more  TIP 1998»
14 years 10 months ago
Region growing: a new approach
Accurate segmentation of images is one of the most important objectives in image analysis. The two conventional methods of image segmentation, region based segmentation and bounda...
S. A. Hojjatoleslami, Josef Kittler
ICPR
2008
IEEE
15 years 5 months ago
Linear time recognition algorithms for topological invariants in 3D
In this paper, we design linear time algorithms to recognize and determine topological invariants such as genus and homology groups in 3D. These invariants can be used to identify...
Li Chen, Yongwu Rong
MLDM
2005
Springer
15 years 4 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater