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» Improved Diffuse Reflection Models for Computer Vision
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101
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ICPR
2000
IEEE
16 years 1 months ago
Terrain Modeling in Synthetic Aperture Radar Images Using Shape-from-Shading
In this paper we introduce a new approach for recovering shape-from-shading (SFS) from synthetic aperture radar (SAR) images of the terrain. Three contributions are proposed. Firs...
Adrian G. Bors, Edwin R. Hancock, Richard C. Wilso...
97
Voted
BIRTHDAY
2003
Springer
15 years 5 months ago
Parallel Digital Halftoning by Error-Diffusion
Digital halftoning, or dithering, is the technique commonly used to render a color or grayscale image on a printer, a computer monitor or other bi-level displays. A particular hal...
Panagiotis Takis Metaxas
WSCG
2001
167views more  WSCG 2001»
15 years 1 months ago
Component-Based Architectures for Computer Vision Systems
Research performed in the field of computer vision has steadily ignored recent advances in programming tools and techniques, relying on well-established traditional methods, such ...
A. Economopoulos, Drakoulis Martakos
111
Voted
IJCV
2000
133views more  IJCV 2000»
15 years 8 days ago
Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
Yoram Leedan, Peter Meer
95
Voted
SCALESPACE
2009
Springer
15 years 7 months ago
Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
Nicolas Thorstensen, Florent Ségonne, Renau...