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Most computer vision systems rely on data captured by systems with fixed characteristics These include both passive sensing systems such as video cameras and active sensing systems such as laser range finders In contrast to these modes of data capture, it is argued that an active vision system in which the parameters and characteristics of data capture are dynamically controlled by the scene interpretation system is crucial for perception The concept of active vision is not new Biological systems routinely acquire data in an active fashion Active vision systems may employ either passive or active sensors However, in an active vision system, the state parameters of the sensors such as focus, aperture, vergence, and illumination are controlled to acquire data that would facilitate the scene interpretation task Active vision is essentially an intelligent data acquisition process controlled by the measured and calculated parameters and errors from the scene Precise definitions of these scene- and context-dependent parameters require a thorough understanding of not only the properties of the imaging and processing system, but also their interdependence Active vision is a very active area of research extract table from pdf to excel c# Convert PDF File to Excel using C# and VB.Net in Windows ...
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14 Mar 2016 ... This is a C # example to convert PDF file to Excel via a free C# PDF library. Only the .Net platform and nothing else, 32 and 64-bit support, ... The Marr-Poggio-Grimson algorithm for binocular stereo is described in the book on stereo by Grimson [92] and in the book on computational vision by Marr [163] Barnard and Fischler [20] published a survey paper on binocular stereo Stereo vision is also described in detail in the book by Faugeras [78] An iterative algorithm for disparity analysis of images is described by Barnard and Thompson [21] Many different forms of stereo have been investigated, including trinocular stereo [12, 98] and motion stereo [127, 185] For solving difficulties in correspondence problems, different features such as interesting points [172], edge and line segments [11, 16, 167, 255], regions [60, 161, 167], and multiple primitives [162] have been tried to make stereo practical and useful One of the most active research topics in computer vision has been shape from X techniques Shape from shading methods are described in the book with the same title [112] The problem of concave objects resulting in secondary illuminations has been studied by Nayar et al [179] A recent approach to shape from focus is given in [180] Shape from texture methods have been investigated by several groups [5, 36, 136] Range image sensing, processing, interpretation, and applications are described in detail in the book [128] Various methods for acquiring range images and a relative comparison of their merits are given by Besl [26] An earlier survey by Jarvis includes not only direct range measuring techniques but also methods in which the range is calculated from 2-D image cues [131] Boyer and Kak [44] describe a method in which color coding is used to acquire the range information using a single image The classical paper by Will and Pennington [250] describes grid coding and Fourier domain processing techniques to locate different planar surfaces in the scene Arguments in favor of active perception systems and a control strategy for an active vision system were presented by Bajcsy [14] Krotkov [150] has described a stereo image capture system in which the focus, zoom, aperture, vergence, and illumination are actively controlled to obtain depth maps Aloimonos et al [8] have described the advantages of active vision systems for performing many computer vision tasks such as shape recovery from image cues Ahuja and Abbot [3] have integrated disparity, camera vergence, and lens focus for surface estimation in an active stereo system. pdf to excel c# Convert Excel file to PDF from C# / VB.NET applications - GemBox
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