Howtosignalprocessing
- What is stereo matching algorithm?
- What is the biggest benefit of image rectification for stereo matching?
- What is semi global block matching?
- What is disparity in stereo vision?
What is stereo matching algorithm?
Stereo matching or disparity estimation is the process of finding the pixels in the multiscopic views that correspond to the same 3D point in the scene. The rectified epipolar geometry simplifies this process of finding correspondences on the same epipolar line.
What is the biggest benefit of image rectification for stereo matching?
Image rectification is used in computer stereo vision to simplify the problem of finding matching points between images (i.e. the correspondence problem), and in geographic information systems to merge images taken from multiple perspectives into a common map coordinate system.
What is semi global block matching?
Semi-global matching uses information from neighboring pixels in multiple directions to calculate the disparity of a pixel. Analysis in multiple directions results in a lot of computation.
What is disparity in stereo vision?
The disparity is the apparent motion of objects between a pair of stereo images. To experience this, try closing one eye and then rapidly open it while closing the other one. You will note that closer objects will move significantly while objects further away will move very little. This phenomenon is called disparity.
