Introduction of computer vision
Computer vision is a field of artificial intelligence (AI) that enables computers derive meaningful information from digital images, videos and other visual inputs obtained by a camera.
Bucket of photons
- Photons converted to electrons
- Shift electrons along row for readout
- The readout on the device will translate the analog signal to either grayscale images or RGB images
Image Formation
pinhole camera, optical centre, focal length
Stereo Cameras
Image filtering
Noise
Cross-correlation Filter
Image gradient computation
Summary
- The basics behind imaging and the pinhole camera model.
- 3D points in the world coordinate frame can be projected to 2D points in the image coordinate frame using projective geometry equations.
- These equations rely on the camera intrinsic parameters, as well as its extrinsic location in the world coordinate frame (covered in tutorial).
- Given the geometric transformation between the two cameras of a stereo sensor, and the disparity, you can estimate the 3D location of pixel.
- Cross-Correlation of pixels is the cornerstone of image filtering and can be used to edge detection.
Origin: Dr. Chris Lu (Homepage)
Translate + Edit: YangSier (Homepage)
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