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» Reconstructing Algebraic Functions from Mixed Data
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CVPR
1999
IEEE
14 years 9 months ago
Implicit Representation and Scene Reconstruction from Probability Density Functions
A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...
Steven M. Seitz, P. Anandan
TSP
2010
13 years 2 months ago
Recovering signals from lowpass data
The problem of recovering a signal from its low frequency components occurs often in practical applications due to the lowpass behavior of many physical systems. Here we study in d...
Yonina C. Eldar, Volker Pohl
ICCV
2001
IEEE
14 years 8 months ago
A Linear Dual-Space Approach to 3D Surface Reconstruction from Occluding Contours using Algebraic Surfaces
We present a linear approach to the 3D reconstruction problem from occluding contours using algebraic surfaces. The problem of noise and missing data in the occluding contours extr...
Kongbin Kang, Jean-Philippe Tarel, Richard Fishman...
VC
2008
126views more  VC 2008»
13 years 7 months ago
Efficient reconstruction from non-uniform point sets
Abstract We propose a method for non-uniform reconstruction of 3D scalar data. Typically, radial basis functions, trigonometric polynomials or shift-invariant functions are used in...
Erald Vuçini, Torsten Möller, M. Eduar...
BIRTHDAY
2003
Springer
14 years 23 days ago
Digital Algebra and Circuits
Abstract. Digital numbers D are the world’s most popular data representation: nearly all texts, sounds and images are coded somewhere in time and space by binary sequences. The m...
Jean Vuillemin