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» Deriving Intrinsic Images from Image Sequences
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CRV
2005
IEEE
181views Robotics» more  CRV 2005»
14 years 1 months ago
New Multi-baseline Stereo by Counting Interest Points
This paper proposes a novel method for estimating depth from a long image sequence captured by a moving camera. Our idea for estimating a depth map is very simple; only counting i...
Tomokazu Sato, Naokazu Yokoya
CRV
2005
IEEE
103views Robotics» more  CRV 2005»
14 years 1 months ago
A Quantitative Comparison of 4 Algorithms for Recovering Dense Accurate Depth
: We report on 4 algorithms for recovering dense depth maps from long image sequences, where the camera motion is known a priori. All methods use a Kalman filter to integrate inte...
Baozhong Tian, John L. Barron
FUIN
2006
63views more  FUIN 2006»
13 years 7 months ago
Surface Properties from N-Views of a Strictly Convex Solid
This paper shows that a strictly convex solid under observation by two or more cameras with known extrinsic and intrinsic parameters contains points on its surface calculable in te...
Simon Collings, Ryszard Kozera, Lyle Noakes
HVEI
2009
13 years 5 months ago
Improved colour to greyscale via integrability correction
The classical approach to converting colour to greyscale is to code the luminance signal as a grey value image. However, the problem with this approach is that the detail at equil...
Mark S. Drew, David Connah, Graham D. Finlayson, M...
IPMI
2001
Springer
14 years 8 months ago
Spatio-temporal Covariance Model for Medical Images Sequences: Application to Functional MRI Data
Spatial and temporal correlations which affect the signal measured in functional MRI (fMRI) are usually not considered simultaneously (i.e., as non-independent random processes) in...
Frithjof Kruggel, Habib Benali, Mélanie P&e...