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» Refinement of Digital Elevation Models from Shadowing Cues
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CVPR
2010
IEEE
13 years 8 months ago
Refinement of Digital Elevation Models from Shadowing Cues
In this paper we derive formal constraints relating terrain elevation and observed cast shadows. We show how an optimisation framework can be used to refine surface estimates usin...
James Hogan, William Smith
TASLP
2010
165views more  TASLP 2010»
12 years 11 months ago
Model-Based Dereverberation Preserving Binaural Cues
The ability of the human auditory system for sound localization mainly depends on the binaural cues, especially interaural time and level differences (ITD and ILD). In the context ...
Marco Jeub, M. Schafer, Thomas Esch, Peter Vary
ICIP
2004
IEEE
14 years 6 months ago
Robust ego-motion estimation and 3d model refinement using depth based parallax model
We present an iterative algorithm for robustly estimating the egomotion and refining and updating a coarse, noisy and partial depth map using a depth based parallax model and brig...
Amit K. Agrawal, Rama Chellappa
CAIP
1997
Springer
168views Image Analysis» more  CAIP 1997»
13 years 8 months ago
Terrain Reconstruction from Multiple Views
A two-stage approach is discussed for reconstructing a dense digital elevation model DEM of the terrain from multiple pre-calibrated images taken by distinct cameras at di erent ...
Georgy L. Gimel'farb, Robert M. Haralick
KDD
1999
ACM
142views Data Mining» more  KDD 1999»
13 years 8 months ago
Mining GPS Data to Augment Road Models
Many advanced safety and navigation applications in vehicles require accurate, detailed digital maps, but manual lane measurements are expensive and time-consuming, making automat...
Seth Rogers, Pat Langley, Christopher Wilson