KEYWORDS: Sensors, Calibration, 3D acquisition, 3D metrology, 3D modeling, Sensor calibration, Cameras, 3D image processing, Imaging systems, Data modeling
3D (three-dimensional) color digitization of an object is fulfilled by light-stripe method based on laser triangle principle
and direct capturing method based on the color photo of the object. With this system, information matching between 3D
and color sensor and data registration of different sensors are fulfilled by a sensor calibration process. The process uses
the same round filament target to calibrate all of the sensors together. The principle and procedure of the process are
presented in detail. Finally, a costume model is 3D color digitized and the obtaining data sets are processed by the
method discussed, the results verify the correctness and feasibility of the algorithm.
KEYWORDS: Sensors, Calibration, Data integration, Cameras, Image registration, Superposition, 3D acquisition, Light sources, 3D scanning, 3D image processing
Based on a vertical scanning system with a line-structured light source, data registration of several 3-D sensors is performed by a calibration process using a linear partition method. Data integration is fulfilled by using a relatively simple but efficient technique called the average coordinates method. The principle and solution procedure of each method is deduced in detail. Two 3-D sensors, a round filament target and an object with certain edge length, are used to verify the theory, and experimental results show that the mean relative error is less than 1%. With no requirement for solving nonlinear equations and other camera parameters, the method proposed is easy to adopt, runs fast, and still is high in precision, which meets the demands of 3-D measurement of a relatively big object.
The theory and the method of digital holography and its application have been studied, and part of the study results mainly involving eliminating zero-order diffraction in digital off-axis holography, analysis of the influence factors of the reconstructed image quality, particle field measurement, etc. are reported, and the experimental results are also given. The preliminary investigative basic research in color digital holography has been done. Multiple-wavelength recording system is introduced in digital holography, and recording of hologram by CCD is no longer a single wavelength one, which is a beneficial tentative research for the development of color digital holography. The research and the results provide the initial theory and experimental basis for the further advancement of digital holography.
BP Neural Network Method and Linear Partition Method are proposed to search the mapping relationship between space points and their image points in CCD cameras, which can be adopted to calibrate three-dimensional digitization systems based on optical method. Both of the methods only need the coordinates of calibration points and their corresponding image points’ coordinates as parameters. The principle of the calibration techniques includes the formula and solution procedure is deduced in detail. Calibration experiment results indicate that the use of Linear Partition Method to coplanar points enables its measuring mean relative error to reach 0.44 percent and the use of BP Neural Network Method to non-coplanar points enables its testing accuracy to reach 0.5-0.6 pixels.
KEYWORDS: Holograms, Digital holography, 3D image reconstruction, Charge-coupled devices, Digital recording, Holography, Image resolution, Optical resolution, 3D modeling, Wavefronts
A method of numerical reconstruction of hologram recorded on a low resolution CCD with different perspectives is presented. The hologram generated by 3D object at any plane located in the Fresnel diffraction region is magnified by a lens and is then recorded on a low resolution CCD sensor and numerical reconstruction is obtained by using linear interpolation and FFT. The 3D reconstruction of the different perspectives can be gained by the method introducing a window in the digital hologram and moving this window inside the whole digital hologram. The experimental results are also given.
Silver halide emulsion is an important component of image materials. It can develop permanent image through the absorption of light. It is widely used in many kinds of fields and has a very prosperous prospect. Now many scientists study the properties of image material, but they mainly focus on experimental methods. Computer simulation method opens up a brand-new way in the study of optoelectronic behavior in image materials. Compared with traditional experimental ways, this method is more economical and convenient and has a shorter research period. So it is a very practical method to exploit new type of image materials and perfect photosensitive theory. In this paper, Nucleation & Growth model and Monte Carlo method were adopted to simulate the optoelectronic behavior in image materials and results with different input parameters will be given.
Silver halide emulsion is an important component of image materials. They are widely used in many kinds of fields and have a very prosperous prospect. This kind of method provides a new way to research the photosensitive process of image materials. Compared with the traditional methods, it is more economical and has a shorter experimental period. In this paper, Nucleation and Growth model and Monte Carlo method were adopted to simulate the formation of image and results in different kinds of outside conditions and material properties will be given.
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