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» Improved Diffuse Reflection Models for Computer Vision
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ICPR
2000
IEEE
15 years 10 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...
BIRTHDAY
2003
Springer
15 years 2 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»
14 years 11 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
IJCV
2000
133views more  IJCV 2000»
14 years 9 months 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
SCALESPACE
2009
Springer
15 years 4 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...