https://wiki.yanding.com/ 2026-08-07T06:02:45+00:00 https://wiki.yanding.com/ https://wiki.yanding.com/lib/tpl/myconfluence/images/favicon.ico text/html 2026-07-23T12:51:17+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%9B%BE%E5%83%8F%E8%B4%A8%E9%87%8F%E6%8C%87%E6%A0%87:%E7%95%B8%E5%8F%98_distortion&rev=1784811077&do=diff 畸变 一、畸变的定义与类型 畸变（distortion）是一种十分独特的几何像差。它并不影响成像的清晰程度，却会使实际场景中原本平直的线条发生弯曲，从而改变物像之间的几何相似性。 畸变是主光线的行为，不同视场的实际横向放大率不同，畸变现象也不同。$$D = \frac{\Delta H}{H} \cdot 100$$$\Delta H$$H$$(x_{real}, y_{real})$$r_{\text{real}} = r_{\text{ideal}} \left(1 + k_1 r^2 + k_2 r^4\right)$$A_{1}$$A_{2}$$$ A = \frac{A_{1}+A_{2}}{2} $$$B$$$ SMIA= \frac{A-B}{B} \times100% $$… text/html 2026-02-10T02:39:24+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:iso_17850_%E7%95%B8%E5%8F%98%E6%B5%8B%E8%AF%95&rev=1770691164&do=diff ISO 17850：畸变测试 概述 本国际标准规定了数码相机几何畸变的测试方法。 标准： ISO 17850:2015 Photography — Digital cameras — Geometric distortion (GD) measurements 技术委员会: ISO/TC 42 Photography 术语与定义 1.geometric distortion（几何畸变）<数码静态相机（DSC）用>$h^{\prime}$$h_{0}^{\prime}$$D_{local}$$$D_{local}=\frac {(h^{\prime}-h_{0}^{\prime})}{h_{0}^{\prime}} \times100\% $$$h^{\prime}$$h_{0}^{\prime}$$h^{\prime}$$h_{0}^{\prime}$$h^{\prime}$$h_{0}^{\prime}$$A_{i}$$B_{i}$$$D_{h_{i}}=2V(B_{i}−A_{i})\prime$$$$D_{h_{i}}=2V(A_{i}−B_{i})\prime$… text/html 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E7%95%B8%E5%8F%98&rev=1784811078&do=diff 畸变 一、什么是畸变？ 畸变（Distortion）是指光学系统对物体所成的像相对于物体本身产生的几何失真。它由透镜边缘与中心区域的横向放大倍率不一致引起。畸变仅改变物体的空间几何形状，而不影响图像的清晰度（分辨率）。 text/html 2025-10-31T07:00:01+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%B7%A5%E5%85%B7:riqa%E5%9B%BE%E5%83%8F%E8%B4%A8%E9%87%8F%E5%88%86%E6%9E%90%E8%BD%AF%E4%BB%B6:riqa-camera%E7%95%B8%E5%8F%98%E6%A8%A1%E5%9D%97&rev=1761894001&do=diff RIQA-Camera畸变模块 畸变是光学系统（如镜头）因视场不同位置的放大率不一致，导致被摄物体的真实几何形状在成像中发生扭曲（如直线变曲线）的几何失真现象。该模块支持点图和棋盘格图卡 text/html 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E5%87%A0%E4%BD%95%E7%95%B8%E5%8F%98&rev=1784811078&do=diff CMS几何畸变 概念 在车载摄像头监控系统（CMS）中，畸变指成像结果与理想投影模型的偏差，其定义随理想基准不同而变化。 为适配工程应用，主要分为两类： * TV 畸变：以单一参考值表征画面整体弯曲程度，是快速评估系统畸变水平的实用指标。$h_{ideal}$$\text{RadialDistortion} = \frac{\Delta h}{h_{ideal}} = \frac{h_{monitor} - h_{ideal}}{h_{ideal}} = \frac{h_{monitor}}{h_{ideal}} - 1$$h_{monitor}$$h_{ideal}$$h_{monitor}$$h_{monitor}(i) = \frac{1}{2}\left[ w_{monitor}(i) - w_{monitor}(i_{centre}) \right]$$w_{monitor}(i)$$i$$i_{centre}$$h_{ideal}$$h_{monitor}$$h_{ideal}$… text/html 2026-07-30T05:50:09+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%9B%BE%E5%83%8F%E8%B4%A8%E9%87%8F%E6%8C%87%E6%A0%87:mtf_sfr_%E6%B7%B1%E5%BA%A6%E8%A7%A3%E6%9E%90%E4%B8%8E%E6%B5%8B%E8%AF%95%E5%AE%9E%E8%B7%B5&rev=1785390609&do=diff 成像系统的“视力表”：MTF/SFR 深度解析与测试实践 当我们谈论成像系统的分辨率（客观物理极限），以及锐度与清晰度（主观视觉感知） 时，MTF/SFR 是量化这些主、客观维度的核心指标，它通过 MTF 曲线，直观地揭示了系统在不同细节尺度下的对比度传递能力。$M = \frac{I_{\max} - I_{\min}}{I_{\max} + I_{\min}}$$ f_{N}= 1 / (2 x PixelPitch)$$$Q = \frac{\sum_{i=1}^{N} SFR_i \, CSF_i}{\sum_{i=1}^{N} CSF_i}, \quad i = 1, 2, \dots, N \tag{L.2}$$\(SFR_i\)\(i\)\(CSF_i\)\(i\)\(N\)$$csf_{\text{lum}}(f) = \frac{(a \cdot f^c) e^{-bf}}{K} \tag{L.1}$$$a = 75$$b = 0.2$$c = 0.8$$K = 102.16$$f$$f_{cut}​ $$$f_{\text{cycles/degree}} = \f… text/html 2026-07-10T08:03:36+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:standardized_testing:iso_17850_distortion&rev=1783670616&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) ISO 17850: Distortion Test Overview This International Standard specifies the test methods for geometric distortion of digital cameras.$D_{local}$$h^{\prime}$$h_{0}^{\prime}$$$D_{local}=\frac {(h^{\prime}-h_{0}^{\prime})}{h_{0}^{\prime}} \times100\% $$$h^{\prime}$$h_{0}^{\prime}$$h^{\prime}$$h_{0}^{\prime}$$h^{\prime}$$h_{0}^{\prime}$$A_{i}$$B_{i}$$… text/html 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%B7%A5%E5%85%B7:%E5%9B%BE%E5%8D%A1:%E5%A6%82%E4%BD%95%E9%80%89%E6%8B%A9%E5%90%88%E9%80%82%E5%9B%BE%E5%8D%A1&rev=1784811078&do=diff 如何选择合适图卡？ 在图像质量评估（如摄像头、显示设备、激光雷达等）中，测试图卡是标准化、可复现的核心工具 —— 它能将 “主观视觉感受” 转化为 “客观数据指标”。本文将从基础概念出发，拆解图卡的用途、参数与选型逻辑、图卡材质与装裱、图卡的使用与存储，帮助你精准匹配测试需求以及正确使用图卡。$tan\frac{DFOV}{2}=\frac{D /2}{S}$$D=2S\frac{DFOV}{2}$$OD = \log_{10}\left( \frac{I_{0}}{I} \right)$$实际最小物理精度（微米）=\frac{25400}{DPI}$… text/html 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_geometric_distortion&rev=1784811078&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) CMS Geometric Distortion Concept In the Camera Monitor System (CMS), distortion refers to the deviation of the imaging result from the ideal projection model, and its definition varies depending on the ideal reference.$h_{ideal}$$\text{RadialDistortion} = \frac{\Delta h}{h_{ideal}} = \frac{h_{monitor} - h_{ideal}}{h_{ideal}} = \frac{h_{monitor}}{h_{… text/html 2026-07-23T11:59:47+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7&rev=1784807987&do=diff 成像质量评价 概述 成像质量评价（Image Quality Assessment, IQA）指在给定条件（如相机的被摄场景、照明环境及显示设备的输入等）下，对成像系统的成像性能（如分辨率、噪声、畸变、色彩、动态范围等）进行主客观分析与评估。成像质量直接影响图像的实用价值 —— 例如人类观察者的视觉体验（如欣赏照片或影片）或目视效果（如使用 text/html 2026-07-23T11:59:47+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E8%89%B2%E5%B7%AE&rev=1784807987&do=diff 色差 一、什么是色差 色差，也称为“色边”或“紫边”，是一种常见的光学问题，当透镜不能将所有波长的颜色聚焦到同一焦平面时，或当颜色的波长聚焦在焦平面的不同位置时，就会出现这种问题。色差是一种常见的镜头像差现象，常在图像最暗或最亮的边界区域显现出彩色条纹或紫色条纹。它是如何产生的呢？ text/html 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:camera_test_cases:distortion&rev=1784811078&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Distortion 1. What is Distortion? Distortion refers to the geometric distortion of the image formed by an optical system relative to the object itself. It is caused by the inconsistency of lateral magnification between the edge and the center of the lens. Distortion only alters the spatial geometry of the object and does not affect the sharpness (re… text/html 2026-07-23T11:59:47+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E9%98%B2%E6%8A%96&rev=1784807987&do=diff 防抖 一、什么是抖动 在公园用手机抓拍奔跑的孩子，照片因模糊错失灵动瞬间；操控无人机航拍山河，画面的剧烈抖动让壮阔风光失了韵味；安防监控的关键时刻，影像模糊更是让重要信息无从捕捉…… 这些影响体验的问题，都指向同一个核心症结 —— text/html 2026-07-27T03:27:08+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=wiki:langswitch_map&rev=1785122828&do=diff  Language Switch Map 维护说明： * 第一列是中文页面ID * 第二列是英文页面ID * 只改表格，不要改格式 * 新增映射时一行一条 中文页ID 英文页ID yanding:成像基础知识:光学:几何光学:主光线角 text/html 2026-07-24T03:00:23+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:image_quality_factors:distortion&rev=1784862023&do=diff Distortion I.Definition Distortion is a geometric aberration characterized by the bending of straight lines in the actual scene, which disrupts the geometric similarity between the object and the image, despite not affecting image sharpness. It is determined by the behavior of the chief rays and manifests specifically as an inconsistency in actual lateral magnification across different fields of view. $$D = \frac{\Delta H}{H} \cdot 100$$$\Delta H$$H$$(x_{real}, y_{real})$$r_{\text{real}} = r_{… text/html 2026-07-27T05:48:42+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86:%E5%85%89%E5%AD%A6:%E5%87%A0%E4%BD%95%E5%85%89%E5%AD%A6:%E5%85%A5%E7%9E%B3&rev=1785131322&do=diff 入瞳及其在相机成像测试中的应用 当我们观察人眼时，可见一黑色小孔（即瞳孔），所有入射光均通过瞳孔进入人眼。从生理上说，瞳孔是虹膜中央的孔，但我们观察到的并不是瞳孔本身，而是瞳孔通过其前面的屈光结构（如角膜、前房等）所成的像。相似地，如果我们在一个明亮的环境，从正面观察一个照相机镜头，会看到一个明亮的斑，这个斑便是镜头的光圈（通常置于镜片之间）经过其前面的镜片所成的像，称为入射光瞳（以下简称入瞳）。在相机的成像测试中，入瞳是一个十分重要的概念，有着广泛的应用。在本文中，我们就与大家一同来认识入瞳。… text/html 2026-07-23T12:54:34+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86:%E6%88%90%E5%83%8F%E7%B3%BB%E7%BB%9F:%E6%BF%80%E5%85%89%E9%9B%B7%E8%BE%BE:%E8%A7%92%E5%BA%A6%E5%88%86%E8%BE%A8%E7%8E%87&rev=1784811274&do=diff 角度分辨率 一、什么是角度分辨率？ 角度分辨率是指激光雷达在扫描探测过程中，相邻两个激光探测点主轴线在测距中心处所形成的夹角。根据扫描方向，可分为水平角度分辨率与垂直角度分辨率$\Delta L$$$\Delta L = d \cdot \tan(\theta) \approx d \cdot \theta \quad (\theta \text{ 以弧度计})$$$(d_{\text{Nmin}} + 1\ \text{m})_{-5}^{+5}\ \text{cm}$ text/html 2026-07-10T08:03:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:tools:riqa_software:riqa_camera_distortion_module&rev=1783670583&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) RIQA-Camera Distortion Module Distortion is a geometric aberration in optical systems (such as lenses) where the magnification varies across different positions in the field of view, causing the true geometric shape of the subject to be distorted in the image (e.g., straight lines becoming curved). This module supports automatic distortion analysis f… text/html 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E9%97%AE%E9%A2%98&rev=1784811078&do=diff 图像质量指标 * 空间频率响应 * 动态范围 * 噪声 * 均匀性 * 杂光 * 畸变 * 视场角 * 色差 * 锐度 * 白平衡 text/html 2025-11-07T09:02:08+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:ieee_2020-2024_cpi%E6%B5%8B%E8%AF%95&rev=1762506128&do=diff IEEE 2020-2024 CPI测试 CPI的定义 对比度是区分物体与环境的重要基础条件。对比度表现指标（Contrast Performance Indicators，简称 CPI）是用于评估成像系统的对比度再现能力的测试指标，主要有两种：$(L_{in})$$(L_{in})=(L_{max}+L_{min})/2$$L_{in}$$L_{max}$$L_{min}$$L_{max} $$L_{min}$$C_{W}$$C_{M}$$C_{W}=\frac{L_{max}}{L_{min}}-1$$C_{W}$$L_{max} $$L_{min}$$C_{W}$$L_{min}$$C_{M}=\frac{L_{max}-L_{min}}{L_{max}+L_{min}}$$L_{max}$$L_{min}$$C_{M}$$C_{\text{PDF}}$$\frac{n(n-1)}{2}$${C_{mean}}$${\delta}$$C_{in}$$CTA_{C_{\text{in}}} = P\left[(C_{\text{in}} - \delta_- \times C_… text/html 2026-02-24T02:19:10+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E5%B8%A7%E7%8E%87&rev=1771899550&do=diff 一、定义 CMS 帧率指车载摄像头监视器系统CMS在单位时间内，从图像采集、处理、传输到监视器完整显示的有效图像总数，单位为 fps（帧/秒）。 视频数据流的连续图像帧 该图为视频数据流中的连续图像帧（I₁、I₂、I₃…），其单位时间内的显示频率，即为 text/html 2026-07-23T11:59:46+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:camera_test_cases:image_quality_evaluation&rev=1784807986&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Image Quality Assessment Overview Image Quality Assessment (IQA) refers to the subjective and objective analysis and evaluation of the imaging performance (such as resolution, noise, distortion, color, dynamic range, etc.) of an imaging system under given conditions (such as the captured scene, lighting environment, and display device input of a cam… text/html 2026-01-16T02:00:21+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B&rev=1768528821&do=diff *空间频率响应_sfr *纹理丢失 *灰阶响应 *动态范围 *噪声 *视场角 *畸变 *色差 *均匀性 *眩光 *色彩还原 *白平衡 *帧率 *曝光时间 *防抖 text/html 2025-10-29T08:32:41+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=keywords&rev=1761726761&do=diff 动态范围/色彩还原/空间频率响应/均匀性/畸变/杂光/闪烁/CMS/图卡 text/html 2026-07-24T07:13:06+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=start&rev=1784877186&do=diff ​​欢迎来到 研鼎知识库! 本知识库由研鼎独家创作，全程免费开放，聚焦成像基础知识与成像质量评估两大核心领域，旨在为不同需求的使用者提供体系化知识支持。 无论您是深耕实践的影像、光学工程师，专注前沿探索的科研工作者，或是对“图像如何形成”“图像优劣如何评判”抱有好奇的入门学习者，都能在此找到适配内容： text/html 2026-05-09T11:02:40+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95&rev=1778324560&do=diff 标准化测试 * emva_1288_图像传感器与相机性能表征标准 * qc_t_1128-2019_汽车用摄像头_图像解决方案 * ieee_2020-2024_flare测试 * ieee_2020-2024_flicker测试 * ieee_2020-2024_cpi测试 * iso_12233_sfr测试 * iso_15739_噪声测试 * iso_17850_畸变测试 * iso_18844_杂光测试 * iso_17957_shading测试 * gb_15084-2022cms视镜类型及视野要求解读 * iso_16505_cms色彩还原测试 * iso_16505_cms景深测试 * gb_t_45500-2025_车载激光雷达性能要求及试验方法 * gb_t_43249-2023_汽车用被动红外探测系统… text/html 2026-05-18T06:11:04+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B2&rev=1779084664&do=diff 测试课堂 ADAS测试用例 * 对比度表现指标_cpi * 闪烁 flicker Camera测试用例 * 动态范围 * 噪声 * 均匀性 * 帧率 * 曝光时间 * 灰阶响应 * 畸变 * 白平衡 * 眩光 * 空间频率响应_sfr * 纹理丢失 * 色差 * 色彩还原 * 视场角 * 防抖 CMS测试用例 * CMS的介绍 * CMS视镜类型及视野要求 * CMS测试前所需参数 * 亮度对比度复现 * 灰度等级复现 * 方向均匀性 * 横向均匀性 * 双点光源 * 眩光 * 景深 * 色彩还原 * 帧率 * 锐度… text/html 2026-07-24T07:23:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=%E6%B5%8B%E8%AF%95%E8%AE%BE%E5%A4%87%E7%9A%84%E9%80%89%E6%8B%A9%E4%B8%8E%E4%BD%BF%E7%94%A8&rev=1784877783&do=diff 图卡 * 如何选择合适图卡 * 图卡材质选择指南 * 图卡的使用_维护和储存指南 * 18_灰 光源 * 多光谱光源箱 * 矩阵交通灯 * 道路交通信号灯仿真测试平台 * 减光片 平行光管 * 平行光管的光瞳匹配 * 平行光管的焦距匹配 * 平行光管的物距计算 * 平行光管的结构 RIQA图像质量分析软件 * riqa的安装 * riqa-camera分辨率模块 * riqa-camera灰阶模块 * riqa-camera畸变模块 * riqa-camera色彩模块… text/html 2026-07-23T12:54:34+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86:%E6%88%90%E5%83%8F%E7%B3%BB%E7%BB%9F:%E6%BF%80%E5%85%89%E9%9B%B7%E8%BE%BE:%E7%82%B9%E4%BA%91&rev=1784811274&do=diff 点云 (Point Cloud) 一、定义： 点云是激光雷达输出的对三维空间获取的点的集合。它通过记录激光脉冲在物体表面的反射，将物理世界的几何形状转化为海量离散的空间坐标点，是自动驾驶环境感知、定位与高精地图构建等的核心底层数据。 text/html 2026-07-23T11:59:46+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:camera_test_cases:chromatic_aberration&rev=1784807986&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Chromatic Aberration 1. What is Chromatic Aberration Chromatic aberration, also known as “color fringing text/html 2026-07-23T12:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:tools:test_charts:chart_selection_guide&rev=1784811078&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) How to Choose the Right Test Chart? In image quality evaluation (e.g., for cameras, display devices, LiDAR, etc.), test charts are standardized and reproducible core tools—they translate $tan\frac{DFOV}{2}=\frac{D /2}{S}$$D=2S\frac{DFOV}{2}$$OD = \log_{10}\left( \frac{I_{0}}{I} \right)$$实际最小物理精度（微米）=\frac{25400}{DPI}$