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» Geographic representation in spatial analysis
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CVPR
2010
IEEE
16 years 2 months ago
Hierarchical Convolutional Sparse Image Decomposition
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
Matthew Zeiler, Dilip Krishnan, Graham Taylor, Rob...
SAC
2002
ACM
15 years 5 months ago
The P-tree algebra
The Peano Count Tree (P-tree) is a quadrant-based lossless tree representation of the original spatial data. The idea of P-tree is to recursively divide the entire spatial data, s...
Qin Ding, Maleq Khan, Amalendu Roy, William Perriz...
PAMI
2012
13 years 8 months ago
M-Idempotent and Self-Dual Morphological Filters
—In this paper, we present a comprehensive analysis of self-dual and m-idempotent operators. We refer to an operator as m-idempotent if it converges after m iterations. We focus ...
Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan...
CVPR
2010
IEEE
16 years 3 days ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal
COSIT
2007
Springer
153views GIS» more  COSIT 2007»
15 years 10 months ago
Effects of Geometry, Landmarks and Orientation Strategies in the 'Drop-Off' Orientation Task
Previous work is reviewed and an experiment described to examine the spatial and strategic cognitive factors impacting on human orientation in the `drop-off' static orientatio...
David Peebles, Clare Davies, Rodrigo Mora