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Browse All Reviews > Computing Methodologies (I) > Image Processing And Computer Vision (I.4) > Restoration (I.4.4)
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1-10 of 15
Reviews about "Restoration (I.4.4)":
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Kalman filtering: with real-time applications (5th ed.)
Chui C., Chen G., Springer International Publishing, New York, NY, 2017. 247 pp. Type: Book (978-3-319476-10-0)
Kalman filtering (KF) is a wide class of algorithms designed, in words selected from this outstanding book, “to obtain an optimal estimate” of the state of a system from information in the presence of noise....
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Oct 9 2017 |
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Structure from motion using the extended Kalman filter
Civera J., Davison A., Martínez Montiel J., Springer Publishing Company, Incorporated, New York, NY, 2011. 184 pp. Type: Book (978-3-642248-33-7)
This collection of methods and techniques concerns the so-called structure from motion (SfM) problem--that is, the 3D reconstruction of geometries and camera positions/orientations, starting from a sequence of 2D images in roo...
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Mar 20 2013 |
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History: the use of the Kalman filter for human motion tracking in virtual reality
Welch G. Presence: Teleoperators and Virtual Environments 18(1): 72-91, 2009. Type: Article
Ever wondered how to become famous in science? This paper presents the history of something that is now famous in science--the Kalman filter....
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Aug 4 2009 |
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Image restoration with discrete constrained total variation part I: fast and exact optimization
Darbon J., Sigelle M. Journal of Mathematical Imaging and Vision 26(3): 261-276, 2006. Type: Article
The authors of this paper clearly define their problem: to minimize the functional ∫&OHgr;f(u, v)dx+&bgr; ∫&OHgr;
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Mar 6 2008 |
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A Kalman filter primer (Statistics: Textbooks and Monographs)
Eubank R., Chapman & Hall/CRC, 2005. 186 pp. Type: Book (9780824723651)
Rudolf Kalman, now a professor at the Swiss Federal Institute of Technology in Zurich, published his groundbreaking paper on what we now call Kalman filters in March 1960. Suffice it to say that, without the Kalman filter, we wouldn&am...
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May 28 2007 |
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Selection of optimal stopping time for nonlinear diffusion filtering
Mrázek P., Navara M. International Journal of Computer Vision 52(2-3): 189-203, 2003. Type: Article
A novel method for computing an optimal stopping time for a nonlinear image restoration technique is discussed in this paper. The stopping criterion is determined using an iterative strategy that minimizes the signal-to-noise ratio (SN...
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Jun 1 2004 |
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Tracking and MAP reconstruction of line scratches in degraded motion pictures
Joyeux L., Boukir S., Besserer B. Machine Vision and Applications 13(3): 119-128, 2002. Type: Article
When I watch old films, and when I say “old films,” I refer to movies dating back to the 1920s and earlier, and I experience feelings of nostalgia and glamour. Those feelings are transmitted to me by means of the mo...
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Aug 8 2003 |
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A unified method for optimizing linear image restoration filters
Sugiyama M., Ogawa H. Signal Processing 82(11): 1773-1787, 2002. Type: Article
An approach for determining optimal linear image restoration filters is developed by the authors in great detail. A subspace information criterion (SIC), which is an unbiased estimator of the expected squared error with finite samples,...
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Apr 2 2003 |
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A Variational Model for Image Classification and Restoration
Samson C., Blanc-Féraud L., Aubert G., Zerubia J. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(5): 460-472, 2000. Type: Article
The paper describes a region classification technique on a variational framework. This is an area that has not been explored as much as restoration, reconstruction and boundary detection. One issue of formulating a classification probl...
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Nov 1 2001 |
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Synchronous random fields and image restoration
Younes L. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(4): 380-390, 1998. Type: Article
The purpose of this paper is to pose a new method for modeling synchronous fields that offers more generality and can be implemented in real-world problems. It is common to use Monte Carlo sampling over the images to be used, severely ...
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Feb 1 1999 |
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