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Working principle of a streak camera. A streak camera is an instrument for measuring the variation in a pulse of light's intensity with time. They are used to measure the pulse duration of some ultrafast laser systems and for applications such as time-resolved spectroscopy and LIDAR.
The principle is named after Austrian army Captain Theodor Scheimpflug, who used it in devising a systematic method and apparatus for correcting perspective distortion in aerial photographs, although Captain Scheimpflug himself credits Jules Carpentier with the rule, thus making it an example of Stigler's law of eponymy.
Recordings taken using the setup have reached significant spread in the mainstream media, including a presentation by Raskar at TEDGlobal 2012. [10] Furthermore, the team was able to demonstrate the reconstruction of unknown objects "around corners", i.e., outside the line of sight of light source and camera, from femto-photographs.
Perspective-n-Point [1] is the problem of estimating the pose of a calibrated camera given a set of n 3D points in the world and their corresponding 2D projections in the image. The camera pose consists of 6 degrees-of-freedom (DOF) which are made up of the rotation (roll, pitch, and yaw) and 3D translation of the camera with respect to the world.
The ideal case of epipolar geometry. A 3D point x is projected onto two camera images through lines (green) which intersect with each camera's focal point, O 1 and O 2. The resulting image points are y 1 and y 2. The green lines intersect at x. In practice, the image points y 1 and y 2 cannot be measured with arbitrary accuracy.
A high-speed video camera which records to electronic memory, A high-speed framing camera which records images on multiple image planes or multiple locations on the same image plane [3] (generally film or a network of CCD cameras), A high-speed streak camera which records a series of line-sized images to film or electronic memory.
Computational photography can improve the capabilities of a camera, or introduce features that were not possible at all with film-based photography, or reduce the cost or size of camera elements. Examples of computational photography include in-camera computation of digital panoramas , [ 6 ] high-dynamic-range images , and light field cameras .
As a result, one can place a camera after the knife edge such that the image of the object will exhibit intensity variations due to the deflections of the rays. The result is a set of lighter and darker patches corresponding to positive and negative fluid density gradients in the direction normal to the knife edge.