Combine multiple point clouds to reconstruct a 3-D scene using Iterative Closest Point (ICP) algorithm.
Automatically determine the geometric transformation between a pair of images. When one image is distorted relative to another by rotation and scale, use detectSURFFeatures and
Measure the diameter of coins in world units using a single calibrated camera.
Train an object detector using a deep learning technique named Faster R-CNN (Regions with Convolutional Neural Networks).
Perform automatic detection and motion-based tracking of moving objects in a video from a stationary camera.
Structure from motion (SfM) is the process of estimating the 3-D structure of a scene from a set of 2-D images. This example shows you how to estimate the poses of a calibrated camera from two
Registering two images is a simple way to understand local features. This example finds a geometric transformation between two images. It uses local features to find well-localized anchor