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» Automatic occlusion removal from minimum number of images
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ICIP
2005
IEEE
13 years 10 months ago
Automatic occlusion removal from minimum number of images
We examine the problem of combining several images to remove occlusions that occur in one or more of a sequence of images. A sequence of digital camera images of a photoworthy lan...
Cormac Herley
CVPR
2007
IEEE
14 years 7 months ago
Automatic Removal of Chromatic Aberration from a Single Image
Many high resolution images exhibit chromatic aberration (CA), where the color channels appear shifted. Unfortunately, merely compensating for these shifts is sometimes inadequate...
Sing Bing Kang
BMVC
1998
13 years 6 months ago
Building Shape Models from Image Sequences using Piecewise Linear Approximation
A method of extracting, classifying and modelling non-rigid shapes from an image sequence is presented. Shapes are approximated by polygons where the number of sides is related to...
Derek R. Magee, Roger D. Boyle
3DPVT
2002
IEEE
128views Visualization» more  3DPVT 2002»
13 years 10 months ago
Towards Automatic Modeling of Monuments and Towers
Three-dimensional modeling from images, when carried out entirely by a human, can be time consuming and impractical for large-scale projects. On the other hand, full automation ma...
Sabry F. El-Hakim, J.-Angelo Beraldin, Jean-Fran&c...
ICASSP
2011
IEEE
12 years 8 months ago
On the effectiveness of the Dark Channel Prior for single image dehazing by approximating with minimum volume ellipsoids
There is an increasing number of methods for removing haze and fog from a single image. One of such methods is Dark Channel Prior (DCP). The goal of this paper is to develop a mat...
Kristofor B. Gibson, Truong Q. Nguyen