Название: MATLAB & Simulink Computer Vision Toolbox User's Guide (R2021a) Автор: MathWorks Издательство: The MathWorks, Inc. Год: 2021 Страниц: 1340 Язык: английский Формат: pdf (true) Размер: 57.5 MB
Проектируйте и тестируйте компьютерное зрение, 3D Vision и системы обработки видео. Computer Vision Toolbox предоставляет алгоритмы, функции и приложения для проектирования и тестирования компьютерного зрения, 3D Vision и систем обработки видео. Вы можете выполнить обнаружение и отслеживание объектов, а также обнаружение функций, экстракцию и сопоставление.
Design and test computer vision, 3D vision, and video processing systems.
Computer Vision Toolbox provides algorithms, functions, and apps for designing and testing computer vision, 3D vision, and video processing systems. You can perform object detection and tracking, as well as feature detection, extraction, and matching. For 3D vision, the toolbox supports single, stereo, and fisheye camera calibration; stereo vision; 3D reconstruction; and lidar and 3D point cloud processing. Computer vision apps automate ground truth labeling and camera calibration workflows.
You can train custom object detectors using deep learning and machine learning algorithms such as YOLO v2, Faster R-CNN, and ACF. For semantic segmentation you can use deep learning algorithms such as SegNet, U-Net, and DeepLab. Pretrained models let you detect faces, pedestrians, and other common objects.
You can accelerate your algorithms by running them on multicore processors and GPUs. Most toolbox algorithms support C/C++ code generation for integrating with existing code, desktop prototyping, and embedded vision system deployment.
Contents:
Camera Calibration Examples Code Generation and Third-Party Examples Deep Learning, Semantic Segmentation, and Detection Examples Feature Detection and Extraction Examples Lidar and Point Cloud Processing Examples Computer Vision with Simulink Examples Video and Image Ground Truth Labeling Tracking and Motion Estimation Examples Featured Examples Structure from Motion and Visual SLAM Point Cloud Processing Using the Installer for Computer Vision System Toolbox Product Input, Output, and Conversions Display and Graphics Registration and Stereo Vision Object Detection Motion Estimation and Tracking Filters, Transforms, and Enhancements Statistics and Morphological Operations Fixed-Point Design Code Generation and Shared Library Vision Blocks Examples
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MATLAB & Simulink Computer Vision Toolbox User's Guide (R2021a) 
Название: MATLAB & Simulink Computer Vision Toolbox User's Guide (R2021a)
