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  • Chemistry  (1)
  • Cramer-Rao bound  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    International journal of computer vision 30 (1998), S. 175-190 
    ISSN: 1573-1405
    Keywords: depth from defocus ; Gaussian blur ; blur identification ; auto-regressive process ; maximum likelihood estimator ; optimality criterion ; Cramer-Rao bound ; log-likelihood function
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract The recovery of depth from defocused images involves calculating the depth of various points in a scene by modeling the effect that the focal parameters of the camera have on images acquired with a small depth of field. In the existing methods on depth from defocus (DFD), two defocused images of a scene are obtained by capturing the scene with different sets of camera parameters. Although the DFD technique is computationally simple, the accuracy is somewhat limited compared to the stereo algorithms. Further, an arbitrary selection of the camera settings can result in observed images whose relative blurring is insufficient to yield a good estimate of the depth. In this paper, we address the DFD problem as a maximum likelihood (ML) based blur identification problem. We carry out performance analysis of the ML estimator and study the effect of the degree of relative blurring on the accuracy of the estimate of the depth. We propose a criterion for optimal selection of camera parameters to obtain an improved estimate of the depth. The optimality criterion is based on the Cramer-Rao bound of the variance of the error in the estimate of blur. A number of simulations as well as experimental results on real images are presented to substantiate our claims.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Stamford, Conn. [u.a.] : Wiley-Blackwell
    Polymer Engineering and Science 32 (1992), S. 448-456 
    ISSN: 0032-3888
    Keywords: Chemistry ; Chemical Engineering
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics
    Notes: The effects of concentration and aspect ratio of carbon fiber and temperature on volume resistivity of polychloroprene-carbon fiber composites have been studied. The critical concentration of fiber wherein a sharp transition of electrical performance occurs from insulative range to conductive range is in the range of 5 to 10 phr for fibers of higher aspect ratio (∼ 100) and in the range of 20 to 25 phr for fibers with lower aspect ratio (∼ 25). Experimental values of electrical conductivity agreed reasonably well with the calculated values from a theory based on probability of formation of conductive network. Heating and cooling curves in the variation of volume resistivity with temperature do not follow the same path and results in a “hysteresis loop,” up to carbon fiber loadings of 30 phr. Such loops disappear at 40 phr loading. The activation energy of conduction for carbon fiber-filled polychloroprene varies from 1.10 × 10-20 to 0.96 × 10-20 J. Linearity in current-voltage relation was observed at room temperature. Increasing interfiber distance at higher temperatures disrupts the linear relation. The type of carrier in carbon fiber-filled polychloroprene thermovulcanizate was found to be n-type. The carrier concentration and drift mobility determined by studying the Hall effect were found in the range of 2.5 × 1022 to 2.90 × 1025 m-3 and 1.66 × 10-4 to 14.25 × 10-4 m2 V-1 s-1, respectively.
    Additional Material: 9 Ill.
    Type of Medium: Electronic Resource
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