Computer Vision
These notes are based on the course COS429, which is taught at Princeton by Professor Jianxiong Xiao.
Notes with their own pages
Notes that have not been organized
Images
Pixels
From class notes: Conceptually, each pixel is a sample of the radiance arriving at a camera viewpoint from a direction. The camera records the number of photons captured for each pixel in its sensor in a given period of time and approximates the power (energy from the photons in a given time) for all pixels.
Photograph
From class notes: A photograph is a slice of the plenoptic function
- At a particular point of view $(x,y,z)$
- In the camera’s field of view (range over $\theta$ and $\phi$)
- At a certain time $t$
- Over a range of frequencies $\lambda$
References
Image operations
- Image warping changes the domain of the image. In other words, we move pixels around (e.g., moving, scaling, rotating, fisheye).
- Image filtering changes the range of the image. In other words, we modify the pixels, but keep them in the same location (e.g., Instagram filters).
References
vision
3d-rotations
camera-matrix
color
homogenous-coordinates
homogenous-coordinates
index
large-small-aperture
lens-center-rays
lens-equation
lens-normal-rays
lens-trace-rays
lighting
ols
optics
pinhole-2d-geometry
pinhole-3d-geometry
pinhole-no-hole
pinhole-with-hole
pinhole-with-lens
projections
transformations
transformations
