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EMMCVPR
1999
Springer
14 years 1 months ago
Maximum Likelihood Inference of 3D Structure from Image Sequences
The paper presents a new approach to recovering the 3D rigid shape of rigid objects from a 2D image sequence. The method has two distinguishing features: it exploits the rigidity o...
Pedro M. Q. Aguiar, José M. F. Moura
TIP
2008
124views more  TIP 2008»
13 years 9 months ago
Graph Laplacian Tomography From Unknown Random Projections
We introduce a graph Laplacian based algorithm for the tomography reconstruction of a planar object from its projections taken at random unknown directions. The algorithm is shown ...
Ronald R. Coifman, Yoel Shkolnisky, Fred J. Sigwor...
ICIAR
2009
Springer
14 years 3 months ago
The Use of Residuals in Image Denoising
Abstract. State-of-the-art image denoising algorithms attempt to recover natural image signals from their noisy observations, such that the statistics of the denoised image follow ...
Dominique Brunet, Edward R. Vrscay, Zhou Wang
ACCV
2010
Springer
13 years 4 months ago
Saliency Density Maximization for Object Detection and Localization
Accurate localization of the salient object from an image is a difficult problem when the saliency map is noisy and incomplete. A fast approach to detect salient objects from image...
Ye Luo, Junsong Yuan, Ping Xue, Qi Tian
ADBIS
2010
Springer
237views Database» more  ADBIS 2010»
13 years 10 months ago
Graph Object Oriented Database for Semantic Image Retrieval
This paper presents a new method for image retrieval using a graph object oriented database for processing the information extracted from the image through the segmentation process...
Eugen Ganea, Marius Brezovan