• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 7,629
Next 10 →

Learning low-level vision

by William T. Freeman, Egon C. Pasztor - International Journal of Computer Vision , 2000
"... We show a learning-based method for low-level vision problems. We set-up a Markov network of patches of the image and the underlying scene. A factorization approximation allows us to easily learn the parameters of the Markov network from synthetic examples of image/scene pairs, and to e ciently prop ..."
Abstract - Cited by 579 (30 self) - Add to MetaCart
propagate image information. Monte Carlo simulations justify this approximation. We apply this to the \super-resolution " problem (estimating high frequency details from a low-resolution image), showing good results. For the motion estimation problem, we show resolution of the aperture problem

SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries

by James Z. Wang, Jia Li, Gio Wiederhold - IEEE Transactions on Pattern Analysis and Machine Intelligence , 2001
"... The need for efficient content-based image retrieval has increased tremendously in many application areas such as biomedicine, military, commerce, education, and Web image classification and searching. We present here SIMPLIcity (Semanticssensitive Integrated Matching for Picture LIbraries), an imag ..."
Abstract - Cited by 551 (35 self) - Add to MetaCart
, which are characterized by color, texture, shape, and location. The system classifies images into semantic categories, such as textured-nontextured, graphphotograph. Potentially, the categorization enhances retrieval by permitting semantically-adaptive searching methods and narrowing down the searching

Shape modeling with front propagation: A level set approach

by Ravikanth Malladi, James A. Sethian, Baba C. Vemuri - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 1995
"... Shape modeling is an important constituent of computer vision as well as computer graphics research. Shape models aid the tasks of object representation and recognition. This paper presents a new approach to shape modeling which retains some of the attractive features of existing methods and over- ..."
Abstract - Cited by 808 (20 self) - Add to MetaCart
-comes some of their limitations. Our techniques can be applied to model arbitrarily complex shapes, which include shapes with significant protrusions, and to situations where no a priori assumption about the object’s topology is made. A single instance of our model, when presented with an image having more

Experimental Results Narrow Aperture Wide Aperture Our Result

by Scott Mccloskey, Michael Langer, Kaleem Siddiqi
"... We present a method to remove partial occlusion blur arising from thin occluders. When severely defocused, such foreground objects reduce the visibility of background content. In order to remove the contribution of the foreground in such regions, we characterize the position and size of the occluder ..."
Abstract - Add to MetaCart
of the occluder in a narrow aperture image. In subsequent images with wider apertures, we use this characterization to remove the contribution of the foreground, thereby clarifying the background. Imaging Model As in image matting, we model the average radiance R incident at pixel p as: R(p) = α(p)R f (p) + (1

Image and depth from a conventional camera with a coded aperture

by Anat Levin, Rob Fergus, Frédo Durand, William T. Freeman - ACM TRANS. GRAPH , 2007
"... A conventional camera captures blurred versions of scene information away from the plane of focus. Camera systems have been proposed that allow for recording all-focus images, or for extracting depth, but to record both simultaneously has required more extensive hardware and reduced spatial resolut ..."
Abstract - Cited by 278 (24 self) - Add to MetaCart
patterned occluder within the aperture of the camera lens, creating a coded aperture. We introduce a criterion for depth discriminability which we use to design the preferred aperture pattern. Using a statistical model of images, we can recover both depth information and an all-focus image from single

Synthetic Aperture Radar Interferometry

by Paul A. Rosen, Scott Hensley, Ian R. Joughin, Fuk K. Li, Søren N. Madsen, Ernesto Rodríguez, Richard M. Goldstein - PROCEEDINGS OF THE IEEE , 2000
"... Synthetic aperture radar interferometry is an imaging technique for measuring the topography of a surface, its changes over time, and other changes in the detailed characteristics of the surface. By exploiting the phase of the coherent radar signal, interferometry has transformed radar remote sensin ..."
Abstract - Cited by 251 (9 self) - Add to MetaCart
Synthetic aperture radar interferometry is an imaging technique for measuring the topography of a surface, its changes over time, and other changes in the detailed characteristics of the surface. By exploiting the phase of the coherent radar signal, interferometry has transformed radar remote

Graph Cuts and Efficient N-D Image Segmentation

by Yuri Boykov, Gareth Funka-Lea , 2006
"... Combinatorial graph cut algorithms have been successfully applied to a wide range of problems in vision and graphics. This paper focusses on possibly the simplest application of graph-cuts: segmentation of objects in image data. Despite its simplicity, this application epitomizes the best features ..."
Abstract - Cited by 307 (7 self) - Add to MetaCart
Combinatorial graph cut algorithms have been successfully applied to a wide range of problems in vision and graphics. This paper focusses on possibly the simplest application of graph-cuts: segmentation of objects in image data. Despite its simplicity, this application epitomizes the best features

Pyramidal implementation of the Lucas Kanade feature tracker

by Jean-yves Bouguet - Intel Corporation, Microprocessor Research Labs , 2000
"... grayscale value of the two images are the location x = [x y] T, where x and y are the two pixel coordinates of a generic image point x. The image I will sometimes be referenced as the first image, and the image J as the second image. For practical issues, the images I and J are discret function (or ..."
Abstract - Cited by 308 (0 self) - Add to MetaCart
the location v = u + d = [ux + dx uy + dy] T on the second image J such as I(u) and J(v) are “similar”. The vector d = [dx dy] T is the image velocity at x, also known as the optical flow at x. Because of the aperture problem, it is essential to define the notion of similarity in a 2D neighborhood sense. Let

Radar Interferometry and its application to changes in the Earth’s surface

by Didier Massonnet, Kurt L. Feigl - REVIEWS OF GEOPHYSICS 36(4) , 1998
"... Geophysical applications of radar interferometry to measure changes in the Earth’s surface have exploded in the early 1990s. This new geodetic technique calculates the interference pattern caused by the difference in phase between two images acquired by a spaceborne synthetic aperture radar at two ..."
Abstract - Cited by 292 (6 self) - Add to MetaCart
Geophysical applications of radar interferometry to measure changes in the Earth’s surface have exploded in the early 1990s. This new geodetic technique calculates the interference pattern caused by the difference in phase between two images acquired by a spaceborne synthetic aperture radar at two

The Aperture

by Severe Hydronephrosis In, Nephrogenic Diabetes Insipidus, Hongbo Yang, Naishi Li, Lingling Xu, Weibo Xia, Xenopsylla Cheopis, Carrier Of Plague, Xenopsylla Cheopis
"... , like the opening in the lens of a microscope that allows light to pass through, is a forum for art, humor, and images that provides a portal for new or different views of medicine and research. ..."
Abstract - Add to MetaCart
, like the opening in the lens of a microscope that allows light to pass through, is a forum for art, humor, and images that provides a portal for new or different views of medicine and research.
Next 10 →
Results 1 - 10 of 7,629
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University