# the principle of Calibration of cameras

some papers always describe they present a novel method of Intrinsic Calibration of cameras, but few say they can realize intrinsic and extrinsic calibration of cameras. How they implement that? And, most of people know the calibration is to obtain the accurate intrinsic. What’s the propose of extrinsic calibration of cameras?

# Derivation of Kalman Filtering step by step

## Basic knowledge

### Bayes' theorem

Note that, $P(x|y)$ is not only a conditional probability, but a Posterior probability for $x$, which means The probability of occurrence of $x$ after y occurs. $P(x)$ is not only a marginal probability, but a prior probability. $P(y|x)$ has three meanings, first is a conditional probability, and secondly, a Posterior probability for y, last but not least, is called by likelihood function. Also, $P(y)$ has three meanings, first is a marginal probability, and secondly, a prior probability, last but not least, is called by normalized constant.

# 『转』MIT教授关于学术写作的十大要诀

## 前言

http://mitsloan.mit.edu/shared/ods/documents/?DocumentID=4448