The following tables describes the advanced image processing cores included in the IP² core lib library.

IP core name

Input

Output

Detecto OBJECT DETECTOR
Learning-based Object Detection algorithm combining a Histogram of Oriented Gradient (HOG) descriptor and a Support Vector Machine (SVM) classifier. >> More...

VDET VEHICLE DETECTOR
Learning-based Vehicle Detection algorithm based on Local Binary Patterns. >> More...

DPM OBJECT DETECTOR
Learning-based Object Detection algorithm based on Deformable Part Model. >> More...

LANE MARKING DETECTOR
Hough Transform-based model fitting algorithm to detect the lane markings on the road sourface. The core works in the top view space (orthographic projection). It is robust to shadows and lighting change. It is the foundation of a FPGA-based Lane Daparture Warning System. >> More...

 IMAGE WARPING
It applies a 2D geometrical spatial transformation to the image coordinates and re-samples the grid. It processes the image in two steps: backward mapping and bilinear interpolation. The warping model can be based on 6 (affine) or 8 (projective) parameters.

 CORNER DETECTION
Based on the Harris operator, it extracts the corner points by detecting significant changes of the gradient intensity along two directions. It returns a set of corner coordinates and the corresponding degrees of confidence.

RECTIFICATION
Lens Distorsion and Perspective Correction. Correction transformation is described by a look up table generated by a camera calibration procedure. It is preliminary to Stereo Matching.

 STEREO MATCHING
Stereo vision engine for real-time three-dimensional data extraction based on an advanced correlation algorithm. Image rectification is required to enforce the epipolar constraint. >> More...

 

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