Capabilities, Documentation, and Examples
Computer Vision is a set of techniques for extracting and interpreting information from images, videos, or point clouds. This includes classical and deep learning methods for image recognition, object detection and tracking, feature detection and extraction, segmentation, 3D pose estimation, simultaneous localization and mapping, and camera calibration. Applications include robotics, automated driving, industrial visual inspection, and 3D scene reconstruction.
“From data annotation to choosing, training, testing, and fine-tuning our deep learning model, MATLAB had all the tools we needed—and GPU Coder enabled us to rapidly deploy to our NVIDIA GPUs even though we had limited GPU experience.”Valerio Imbriolo, Drass Group