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Course Introduction -
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one L0 In order to understand PipeLine, why must we learn this lesson first? Course overview, sharing the author's experience in image stitching, as well as outstanding experience. Briefly introduce the general situation of OpenVC PipeLine, and explain which courses are composed of this course at present. "Only for paying users" Click to download "L0. In order to understand PipeLine, why must we first learn this lesson?. zip" [24:19] Start learning two Basic concept and process of L1 image mosaic The definition and essential characteristics of image mosaic are explained. Explain the simple process of splicing and the more complex process used in industry. "Only for paying users" Click to download "L1 Image Mosaic Basic Concepts and Processes. zip" [16:41] Start learning three L2 image mosaic widely used and * * achievements The scene analysis widely used in image mosaic is carried out, and the new application methods are summarized. Especially, it explains the classic methods of image mosaic, the problems in the process and the possible solutions. "Only for paying users" click to download "L2 image stitching is widely used and the latest achievements. zip" [17:32] Start learning four Features of L3 Image Mosaic and Introduction to Microsoft Mosaic Software (ICE) The introduction of Microsoft mosaic software (ICE), which is relatively small but absolutely easy to use, takes into account the characteristics of image mosaic technology. "Only for paying users" Click to download "Features of L3 image stitching and introduction to Microsoft stitching software (ICE). zip" [09:05] Start learning five L4 precision panoramic image acquisition system model By analyzing the products of a military enterprise in Shanghai and the software and hardware of panoramic camera, the precise acquisition model of image stitching is introduced, and the principle is analyzed [Only for paying users] Click to download "L4 precision panoramic image acquisition system model. zip" [08:53] Start learning six L5 abstract cylindrical image acquisition model Further abstract, analyze the mathematical principle of the "cylinder" acquisition model, perform relevant deduction, and implement coding Click "Only for paying users" to download "L5 abstract cylindrical image acquisition model. zip" [28:49] Start learning seven L6 general panoramic image acquisition model It emphasizes how to collect qualified pictures in reality without certain equipment. [Only for paying users] Click to download "L6 ordinary panoramic image acquisition model. zip" [09:38] Start learning eight Is there no other model for L7? Highlight other acquisition models that are not very commonly used but are also in great demand. "Only for paying users" Click to download "Is there no other model for L7?. rar" [14:57] Start learning nine Two step imaging of L8 projection transformation Two-step imaging and cylindrical two-step imaging "Only for paying users" Click to download "Two step imaging of L8 projection transformation. rar" [15:28] Start learning ten 8-parameter model of L9 tall 8. Definition and description of parameter model, various deformations, their mathematical intuitive meanings, and how to use them in OpenCV "Only for paying users" Click to download "L9. rar" [20:08] Start learning eleven L10 template and feature points What is template matching? What are characteristic points? Feature points need to be purified and used as needed Click "Only for paying users" to download "L10 template and feature points. zip" [43:59] Start learning twelve L11 How to realize feature point extraction Introduction to ORB feature points, realizing ORB extraction in OpenCV Click "Only for paying users" to download "How to realize feature point extraction in L11. zip" [20:08] Start learning thirteen L12 How to realize feature point matching Understanding the RANSAC method and how to transform the matching of feature points into image matching Click "Only for paying users" to download "How to achieve feature point matching in L12. zip" [25:08] Start learning fourteen L13 From feature point matching to image alignment Realizing alignment based on OpenCV, focusing on beam adjustment "Only for paying users" click to download "L13 from feature point matching to image alignment. zip" [18:12] Start learning fifteen L14 linear fusion and when to use This paper introduces that linear fusion is the simplest fusion mode, how the author uses linear fusion in actual projects, and how to code it. "Only for paying users" Click to download "L14 linear integration and when to use. zip" [12:19] Start learning sixteen L15multiband integration and when to use What is Mulitband? Let's code, implement and demonstrate together, and then take a look at the problem of this method? "Only for paying users" Click to download "L15multiband integration and when to use. zip" [15:20] Start learning