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» Measurement Error Estimation for Feature Tracking
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CVPR
2008
IEEE
14 years 10 months ago
Unsupervised estimation of segmentation quality using nonnegative factorization
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
Roman Sandler, Michael Lindenbaum
JCB
2002
70views more  JCB 2002»
13 years 8 months ago
Strong Feature Sets from Small Samples
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
Seungchan Kim, Edward R. Dougherty, Junior Barrera...
ECCV
2008
Springer
14 years 10 months ago
A Perceptual Comparison of Distance Measures for Color Constancy Algorithms
Abstract. Color constancy is the ability to measure image features independent of the color of the scene illuminant and is an important topic in color and computer vision. As many ...
Arjan Gijsenij, Theo Gevers, Marcel P. Lucassen
SSIAI
2000
IEEE
14 years 1 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
FPL
2005
Springer
115views Hardware» more  FPL 2005»
14 years 2 months ago
Statistical Power Estimation for FPGA
This article presents a power estimation tool integrated with an FPGA design flow. It is able to estimate total and individual-node average power consumption for combinational blo...
Elias Todorovich, Fabian Angarita, Javier Valls, E...