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» Quasi-Dense Reconstruction from Image Sequence
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AMDO
2000
Springer
13 years 11 months ago
Matching a Human Walking Sequence with a VRML Synthetic Model
- In this paper we present a specific matching technique based on basic motor patterns between two image sequences taken from different view points and a VRML synthetic human model...
Jose Maria Buades Rubio, Ramon Mas, Francisco J. P...
ICCV
2005
IEEE
14 years 9 months ago
Vignette and Exposure Calibration and Compensation
We discuss calibration and removal of "vignetting" (radial falloff) and exposure (gain) variations from sequences of images. Unique solutions for vignetting, exposure an...
Dan B. Goldman, Jiun-Hung Chen
ICASSP
2009
IEEE
14 years 2 months ago
CMOS compressed imaging by Random Convolution
We present a CMOS imager with built-in capability to perform Compressed Sensing coding by Random Convolution. It is achieved by a shift register set in a pseudo-random configurat...
Laurent Jacques, Pierre Vandergheynst, Alexandre B...
ICIP
2001
IEEE
14 years 9 months ago
Robust estimation of depth and motion using stochastic approximation
The problemof structurefrom motion (SFM)is to extract the three-dimensionalmodel of a moving scene from a sequence of images. Though two images are sufficient to produce a 3D reco...
Rama Chellappa, Amit K. Roy Chowdhury
CVPR
2008
IEEE
14 years 10 months ago
A factorization approach to structure from motion with shape priors
This paper presents an approach for including 3D prior models into a factorization framework for structure from motion. The proposed method computes a closed-form affine fit which...
Alessio Del Bue