Titlebook: Image Correlation for Shape, Motion and Deformation Measurements; Basic Concepts,Theor Hubert Schreier,Jean-José Orteu,Michael A. Sutton Bo

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iscov 2:598–607, 2012; Zaphiropoulos, Front Genet 2:92, 2011; Li et al., Cell Cycle 8:218–222, 2009; Jividen and Li, Genes Chromosomes Cancer 53:963–971, 2014; Jia et al., Trends Cancer 2:475–484, 2016), most highly expressed chimeric RNA species identified so far are usually transcribed directly fr

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Elements of Geometrical Optics,les and diameters of the focused, light rays are sufficiently small so that the Gauss approximation is appropriate and (b) geometrical aberrations and other optical defects can be neglected [107]. Next, we consider an optical system consisting of a single thick lens. Using ray optics to extract the

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Single Camera Models and Calibration Procedures in Computer Vision,ses, optical filters and shuttering elements that collect light from the object and focus the image onto the sensor plane. Second is the camera hardware. For example, when using a charge coupled device (CCD) camera to acquire digital images, the incident illumination is converted into an electrical

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Two-Dimensional and Three-Dimensional Computer Vision, described in Chapter 3. For two-dimensional computer vision, it is assumed that the motions of a planar object occur within the object plane. In most 2D cases, the object plane is nominally parallel to the camera sensor plane. In 3D computer vision,1 the only restrictions placed on the motion of a

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Stereo-vision System Applications,ticipated object motion with corresponding (a-1) field of view on object, (a-2) system depth of field and (a-3) spatial resolution of camera; (b) surface lighting; (c) camera exposure time and (d) surface diffusivity..Suppose the region of interest on the object is expected to move several millimete

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Volumetric Digital Image Correlation (VDIC),rt the image sensor information into 2D or 3D surface position data. Typically, the imaging model is a form of perspective transformation, with functions defined to correct the model predictions..In recent years, a series of advances in imaging, not only of surfaces but also for material volumes, ha