List of Applets

List of all the applet examples that demonstrate different capabilities of BoofCV. Applets are java applications which run in your browser. Due to security restrictions their capability and performance is limited compare to what a full java application can do. Running these applets requires that Java 1.6 or later be installed in your system and that your browser has been correctly configured.

• To test to see if your browser can run java click here [http://java.com/en/download/installed.jsp]
• Some of these applets are computationally expensive. This is particularly true any applet that involves processing a video stream.
• To cut down on bandwidth usage, video streams have been highly compressed with a low frame rate. Given them a bit of a choppy appearance.
• Many of these applets were originally created as debugging tools to aid in algorithm development.
• When FPS (frames per second) is reference its computation does not include low level input/output operations, just the core algorithm.

Low Level Image Processing

Name	Description
Blur	Different operations for smoothing/blurring images.
Derivatives	Shows the first and second order image derivatives.
Contour	Detects the contour/edges of objects inside an image.
Denoising	Different ways to remove noise from images, e.g. wavelet and blur filters.
Interpolation	Shows different interpolation algorithms scaling up an image.
Kernel Gaussian	Visualizes Gaussian kernels and its derivatives of different sizes.
Gaussian Steerable	Steerable Gaussian derivative kernels
Binary Operations	Different basic binary image operations.
Binary Label	Binary operations for labeling blobs.
Lens Distortion	Shows how the image changes with lens distortion
Image Enhancement	Shows several different image enhancement operations

Image Feature Intensity

Name	Description
Point	Intensity of different corner/point feature detectors.
Scale Space	Intensity of features across scale-space.

Detected Image Features

Name	Description
Extract	Extraction algorithms from feature intensity images, e.g.non-maximum suppression.
Lines	Detecting line features.
Point	Detected image point features.
Scale Space	Detected features across an image's scale-space.
Orientation	Shows the orientation of detected features.

Associating Image Features

Name	Description
Associated Points	Shows associated features in two sets of images.
Association Score	Shows the relative association score between image features.
Region Description	Shows the values of different tuple based region descriptions.

Image Transforms

Name	Description
Wavelet	Wavelet image transform.
Pyramid Discrete	Image pyramid where only integer scales are allowed between layers.
Pyramid Float	Image pyramid where the scale between each level can be an arbitrary positive number.
Scale Space	Scale-space transform of an image.

Camera Calibration

Name	Description
Calibration Monocular	Demonstrates monocular camera calibration with planar targets
Calibration Stereo	Demonstrates stereo camera calibration with planar targets
Rectify Calibrated	Rectifies calibrated stereo images
Remove Lens Distortion	Removes lens distortion from images and adjusts the view
Detect Square Grid	Shows detected square grid calibration targets
Detect Chessboard	Shows detected chessboard calibration targets
Lens Distortion Parameters	Shows how the image changes with different lens distortion parameters

3D Computer Vision

Name	Description
Stereo Disparity	Computes disparity from a stereo image and creates a point cloud

Feature Matching Applications

Name	Description
Tracking	Tracking features across a sequence of images.
Line Detection	Detect lines across video sequences.
Image Stabilization	Stabilizing an image sequence to remove camera jitter.
Video Mosaic	Combing images together from a video sequence.
Image Stitching	Stitching together multiple images.
Stereo Visual Odometry	Visual odometry using a stereo camera