Overview
This library is mainly aimed at real time computer vision. Some example areas would be Human-Computer Interaction (HCI); Object Identification, Segmentation and Recognition; Face Recognition; Gesture Recognition; Motion Tracking, Ego Motion, Motion Understanding; Structure From Motion (SFM); and Mobile Robotics. Library Areas:
The areas covered by this library are
| Chapter |
Contents |
| Image functions |
Creation, allocation, destruction of images. Fast pixel access macros. |
| Data Structures |
Static types and dynamic storage. |
| Contour Processing |
Finding, displaying, manipulation, and simplification of image contours. |
| Geometry |
Line and ellipse fitting. Convex hull. Contour analysis. |
| Features |
1st & 2nd Image Derivatives. Lines: Canny, Hough. Corners: Finding, tracking. |
| Image Statistics |
In region of interest: Count, Mean, STD, Min, Max, Norm, Moments, Hu Moments. |
| Image Pyramids |
Power of 2. Color/texture segmentation. |
| Morphology |
Erode, dilate, open, close. Gradient, top-hat, black-hat. |
| Background Differencing |
Accumulate images and squared images. Running averages. |
| Distance Transform |
Distance Transform |
| Thresholding |
Binary, inverse binary, truncated, to zero, to zero inverse. |
| Flood Fill |
4 and 8 connected |
| Camera Calibration |
Intrinsic and extrinsic, Rodrigues, un-distortion, Finding checkerboard calibration pattern |
| View Morphing |
8 point algorithm, Epipolar alignment of images |
| Motion Templates |
Overlaying silhouettes: motion history image, gradient and weighted global motion. |
| CAMSHIFT |
Mean shift algorithm and variant |
| Active Contours |
Snakes |
| Optical Flow |
HS, L-K, BM and L-K in pyramid. |
| Estimators |
Kalman and Condensation. |
| POSIT |
6DOF model based estimate from 1 2D view. |
| Histogram (recognition) |
Manipulation, comparison, backprojection. Earth Mover's Distance (EMD). |
| Gesture Recognition |
Stereo based: Finding hand, hand mask. Image homography, bounding box. |
| Matrix |
Matrix Math: SVD, inverse, cross-product, Mahalanobis, eigen values and vectors. Perspective projection. |
| Eigen Objects |
Calc Cov Matrix, Calc Eigen objects, decomp. coeffs. Decomposition and projection. |
| embedded HMMs |
Create, destroy, observation vectors, DCT, Viterbi Segmentation, training and test. |
| Drawing Primatives |
Line, rectangle, circle, ellipse, polygon. Text on images. |
| System Functions |
Load optimized code. Get processor info. |
| Utility |
Abs difference. Template matching. Pixel order<->Plane order. Convert Scale. Sampling lines. Bi-linear interpolation. ArcTan, sqrt, inv-sqrt, reciprocal. CartToPolar, Exp, Log. Random numbs. Set image. K-Means. |
Intel� Image Processing Library (included in OpenCV WinOS download):
- Image creation and access (same image header used for both libraries).
- Image arithmetic and logic operations.
- Image filtering.
- Linear image transformation.
- Image morphology.
- Color space conversion.
- Image histogram and thresholding.
- Geometric transformation (zoom-decimate, rotate, mirror, shear, warp, perspective transform, affine transform).
-
Image moments.
Demo Overview (apps that come with the library)
Matlab Camera Calibration Toolbox tutorial
Automatic camera calibration filter
Color tracker/face tracker
Condensation filter fracker
Face recognition using embedded HMMs
Kalman filter tracker
Lucas-Kanade optical flow in an image pyramid
User Contributed Utilities Windows* Specific
How to find any Direct Show* camera driver with the CAMSHIFT demo
Matrox Meteor* Direct Show capture filter
Linux* Specific
C Code, Non-Specific
BMP* to IPL file reader/writer
Finding the mean and covariance of data sets on disk
*All other brands and names are the property of their respective owners.
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Home Computing
