Objective: Import videos into MATLAB, as well as annotate and visualize them. The focus is on using System Objects^™ for performing iterative computations on video frames.

• Importing and displaying video files
• Highlighting objects by drawing markers and shapes like rectangles
• Combining and overlaying two images
• Performing iterative computations on video frames

Objective: Use corner and blob detectors to detect local features in images. Extract and match features from two images. Use matched features to automatically align and stitch images.

• Detecting and extracting features in an image
• Matching features between two input feature sets
• Estimating geometric transformation between images
• Aligning and stitching images

Objective: Train a detector for flexible object detection. Detect moving objects by using a foreground detector.

• Marking objects of interest in training images
• Training and using the cascaded object detector
• Using foreground detection to detect objects

Objective: Estimate direction and strength of motion in a video sequence.

• Understanding motion perception in images
• Estimating motion using block matcher
• Estimating motion using optical flow methods

Objective: Track single and multiple objects and estimate their trajectory. Handle occlusion by predicting object position.

• Tracking objects using histogram of pixel values
• Tracking points using a point tracker
• Predicting object position using the Kalman filter
• Tracking multiple objects

Objective: Remove lens distortion from images. Measure size of planar objects.

• Estimating intrinsic, extrinsic, and lens distortion parameters of a camera
• Visualizing the calibration error
• Removing lens distortion
• Measuring planar objects in real-world units

Objective: Work with data points stored as point clouds. Import, visualize, and process point clouds.

• Importing and visualizing point clouds
• Removing outliers from point clouds
• Registering multiple point clouds
• Fitting a geometric shape into a point cloud

Objective: Create a 3D reconstruction of a scene using stereo cameras or a series of images taken by a moving camera.

• Reconstructing a scene using two or multiple images
• Reconstructing a scene using calibrated stereo cameras
• Extracting depth information from stereo images