### 电子工程代写|三维成像代写Three-Dimensional Imaging代考|EE262

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• Statistical Inference 统计推断
• Statistical Computing 统计计算
• Advanced Probability Theory 高等楖率论
• Advanced Mathematical Statistics 高等数理统计学
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 电子工程代写|三维成像代写Three-Dimensional Imaging代考|Effect of Pixel Pitch

Here, it is assumed the elemental image has a pixel structure, and the pitch is given by $P_{N P}$. The elemental image is sampled by the pixels on the elemental images. The maximum projected spatial frequency of the object is limited by the Nyquist frequency:
$$\alpha_{N P} \cong \frac{g}{2 P_{N P}} .$$
Visual spatial frequency $\beta_{N P}$ according to $\alpha_{\mathrm{NP}}$, is given by Eq. (1.39):
$$\beta_{N P}=\alpha_{N P} \frac{L_{O B}-Z_{s}}{\left|Z_{s}\right|}=\frac{g}{2 P_{N P}} \frac{L_{O B}-Z_{s}}{\left|Z_{s}\right|}$$
Here, assuming $-z_{s}$ is infinite, we obtain:
$$\beta_{N P}=\frac{g}{2 P_{N P}} .$$
Maximum visual spatial frequency $\beta_{M X}$ is given by the following equation:
$$\boldsymbol{\beta}{M X}=\min \left(\boldsymbol{\beta}{N P}, \boldsymbol{\beta}{D F}, \boldsymbol{\beta}{V L}, \boldsymbol{\beta}{N L}\right)$$ where $\beta{D F}$ is a spatial frequency that gives the null response by diffraction or the defocus described in the former section. When the diameter of the elemental lens is more than about $1.0 \mathrm{~mm}, \beta_{D F}$ is more than $\beta_{V L}$ under the condition in Eq. (1.42). If the pixel pitch of each elemental image $P_{N P}$ is too large, the MTF response depends mainly on the Nyquist frequency $\beta_{N P}$ by the pixel pitch.
The viewing zone is given by [19]
$$\boldsymbol{\phi}{V Z} \cong \frac{P{a}}{g}$$
A wide viewing zone requires small $\mathrm{g}$, but small $g$ degrades $\beta_{N P}$. To compensate for the degradation, $P_{N P}$ needs to be smaller.

## 电子工程代写|三维成像代写Three-Dimensional Imaging代考|Experimental System

To obtain moving pictures, an electronic capture device, such as a CCD or CMOS image sensor, is set on the capture plate and takes elemental images. For reconstruction, a display device such as an LCD panel or an EL panel is placed behind the lens array. Video signals are transmitted from the capture device to the display device.

The size of the lens array for capturing needs to be large enough to obtain a large parallax; however, it is difficult to develop a large capture device for moving pictures. In the actual system, a television camera using a pickup lens is set to capture all elemental images formed by the elemental lenses. In the future, a capture device of the same size as the lens array will need to be developed and set immediately behind the lens array.

Figure $1.6$ shows an experimental real-time integral imaging system. A depth control lens, a GRIN lens array [14, 15], a converging lens, and an EHR (extremely high resolution) camera with 2,000 scanning lines [23] are introduced for capturing. The depth control lens [10] forms the optical image of the object around the lens array, and the GRIN lens array captures the optical image. Many elemental lenses (GRIN lenses) form elemental images near the output plane of the array. An elemental GRIN lens acts as a specific lens forming an erect image for the object in the distant R.O. area to avoid pseudoscopic 3-D images. The converging lens [10], which is set close to the GRIN lens array, leads the light rays from elemental GRIN lenses to the EHR camera. The converging lens uses light rays efficiently, but is not an essential which are formed around the output plane of the GRIN lens.

Table $1.1$ shows the experimental specifications of the capture setup. Figure $1.7$ shows the two-dimensional arrangement of the GRIN lens array used in the experiment. The pitch between the adjacent elemental lenses corresponds to $21.3$ pixels of the EHR camera. The arrangement has a delta structure, which is more efficient than a grid structure. The horizontal pitch is considered $21.3 / 2$ and the vertical one is considered $21.3 \times \sqrt{3} / 2$, equivalently.

## 电子工程代写|三维成像代写Three-Dimensional Imaging代考|Effect of Pixel Pitch

$$\alpha_{N P} \cong \frac{g}{2 P_{N P}}$$

$$\beta_{N P}=\alpha_{N P} \frac{L_{O B}-Z_{s}}{\left|Z_{s}\right|}=\frac{g}{2 P_{N P}} \frac{L_{O B}-Z_{s}}{\left|Z_{s}\right|}$$

$$\beta_{N P}=\frac{g}{2 P_{N P}} .$$

$$\boldsymbol{\beta} M X=\min (\boldsymbol{\beta} N P, \boldsymbol{\beta} D F, \boldsymbol{\beta} V L, \boldsymbol{\beta} N L)$$

$$\phi V Z \cong \frac{P a}{g}$$

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## MATLAB代写

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