{"id":13792714,"url":"https://github.com/JackHCC/Computer-Vision-And-Augmented-Reality-Homework","last_synced_at":"2025-05-12T14:32:10.635Z","repository":{"id":112236922,"uuid":"462136216","full_name":"JackHCC/Computer-Vision-And-Augmented-Reality-Homework","owner":"JackHCC","description":"Homework of Computer Vision And Augmented Reality Lesson","archived":false,"fork":false,"pushed_at":"2022-06-14T15:20:14.000Z","size":68579,"stargazers_count":6,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-11-18T06:49:44.182Z","etag":null,"topics":["computer-vision","homework","image-processing","opencv"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/JackHCC.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2022-02-22T04:23:34.000Z","updated_at":"2024-06-21T09:34:19.000Z","dependencies_parsed_at":"2023-03-18T10:01:58.339Z","dependency_job_id":null,"html_url":"https://github.com/JackHCC/Computer-Vision-And-Augmented-Reality-Homework","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JackHCC%2FComputer-Vision-And-Augmented-Reality-Homework","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JackHCC%2FComputer-Vision-And-Augmented-Reality-Homework/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JackHCC%2FComputer-Vision-And-Augmented-Reality-Homework/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JackHCC%2FComputer-Vision-And-Augmented-Reality-Homework/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/JackHCC","download_url":"https://codeload.github.com/JackHCC/Computer-Vision-And-Augmented-Reality-Homework/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253754970,"owners_count":21958934,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["computer-vision","homework","image-processing","opencv"],"created_at":"2024-08-03T22:01:15.262Z","updated_at":"2025-05-12T14:32:05.590Z","avatar_url":"https://github.com/JackHCC.png","language":"Python","funding_links":[],"categories":["课程作业"],"sub_categories":[],"readme":"# Computer-Vision-And-Augmented-Reality-Homework\nHomework of Computer Vision And Augmented Reality Lesson🖨\n\n\n\n## Homework1\n\n选择自己喜欢的开发平台，安装并配置opencv 开发环境，并运行hello world 程序.\n\n要求：\n\n（1）打开视频设备，并显示视频；\n\n（2）打开视频或图像文件，并显示；\n\n（3）在视频（或图像）上叠加自己的学号和姓名；\n\n\n\n## Homework2\n\n根据自己的兴趣，在三道题中选做一道：\n\n1. 矫正图像中的偏色\n2. 替换对象颜色\n3. 着色\n\n\n\n## Homework3\n\n二选一\n\n1. 为了降低成本和体积，一些光电产品在设计时常采用计算替代复杂的光学修正。现有一指采集设备，有效窗口尺寸为32mm X 32mm，直接获取带有窗口的图像如图1。请对图像进行修正，得到640X640无畸变的指纹图像。\n2. 打印棋盘格，尝试标定自己的手机相机，获取手机镜头的参数，然后根据标定矩阵矫正所拍的照片。\n\n\n\n## Homework4\n\n三选一\n\n1. 请把下图中学校的名牌（或名字）换成其它任意学校名，做到与原有场景一致。（或自选图片和替换对象）\n2. 用python，opencv 实现AR.开源项目 BAR4Py. https://github.com/GeekLiB/AR-BXT-AR4Python\n3. 基于PyOpenGL和Pygame的增强现实，https://blog.csdn.net/weixin_43842653/article/details/89071046\n\n\n\n## Homework5\n\n二选一：\n\n1. 自己拍摄两张有重叠区域的照片，然后拼接起来\n2. 自选一张图分别用Harris， SIFT，SURF， ORB提取特征点，并比较提取的特征点数和耗时。\n\n\n\n## Homework6\n\n四选一：\n\n1. 用根据纹理分割图中不同的区域\n2. 比较三纹理图篇，哪两张更相似\n3. 纹理迁移\n4. 自选图和网络模型，实现风格迁移\n\n\n\n## Homework7\n\n自选图像和分割方法，实现图像分割。\n\n\n\n## Homework8\n\n三选一：\n\n1. 修正图中的暗角；\n2. 采用高动态范围技术融合图像；\n3. 采用高分辨率技术扩大图像。\n\n## Homework9\n\n三选一：\n\n1. 检测图像中的物体。\n2. 构建物体（物体自定）检测系统\n   - 建立训练集\n   - 验证检测效果\n3. 场景描述\n\n## Homework10\n\n二选一：\n\n1. 动态检测光流\n2. 用光流场方法，标出前景（运动）和背景（静止）。\n\n## Homework11\n\n三选一：\n\n1. 在实时输入视频中跟踪物体；\n2. 在输入视频文件中跟踪物体；\n3. 将物体检测和物体跟踪结合起来，实现不需要初始标注物体的跟踪系统。\n\n## Homework12\n\n计算下列两幅图的视差图（深度图）：\n\n（1）比较BM和SGBM所获取的深度图的差别，并分析其原因；\n\n（2）用实验分析BlockSize的大小对提取深度图算法的影响。\n\n## Homework13\n\n根据RGB-D数据图，生成点云数据（文件），并显示。\n\n## Homework14\n\n自制一张内部复制粘贴的图像，然把复制区域检测出来。\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FJackHCC%2FComputer-Vision-And-Augmented-Reality-Homework","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FJackHCC%2FComputer-Vision-And-Augmented-Reality-Homework","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FJackHCC%2FComputer-Vision-And-Augmented-Reality-Homework/lists"}