Field of view (FOV) is the greatest space of an example that a camera can picture. It is identified with two things, the central length of the focal point and the sensor size. Figure 1 shows an examination between the field of view and the size of the sensor. Expecting that the central length of the focal point is something very similar, the bigger the sensor the bigger the field of view.
Figure 1: Correlation of various sensor sizes, showing how bigger sensor sizes add to a bigger field of view. Both the blue (4096 x 4096 pixels) and red (2048 x 2048 pixels) square show sensors produced using 15 x 15 μm pixels, while the green square (1024 x 1024 pixels) demonstrates a sensor produced using 13 x 13 μm pixels.
The sensor size is dictated by both the quantity of pixels on the sensor, and the size of the pixels. Diverse measured pixels are utilized for various applications, with bigger pixels utilized for higher affectability, and more modest pixels utilized for higher spatial goal (discover more on Pixel Size and Camera Goal).
The central length of the focal point depicts the distance between the focal point and the zeroed in picture on the sensor. As light goes through the perspective it will either join (positive central length) or veer (negative central length), anyway inside cameras the central length is predominately sure. More limited central lengths combine the light more unequivocally (for example at a more honed point) to center the subject being imaged. Longer central lengths, in examination, unite the light less emphatically (for example at a shallower point) to center the picture.
This implies that the distance of the central length is controlled by how unequivocally the light is united by the focal point to center the subject being imaged. This, thusly, impacts the point from the horizonal of light that can be caught by the focal point. This is known as the precise field of view (AFOV) and is needed to decide the generally FOV. The AFOV is the point between any light caught at the horizonal, and any light caught at the edge (as displayed in Figure 2). In the event that you have a proper sensor size, changing the central length will adjust the AFOV and in this way the by and large FOV. A more limited central length gives a bigger AFOV see, and hence a bigger FOV. The equivalent is valid however the other way around for longer central lengths, as demonstrated in Figure 2.
Figure 2: Schematic portraying how central length affects the precise field of view (AFOV). The more limited the central length, the bigger the AFOV, and the other way around for longer central length. This impacts the size of the FOV. Red line demonstrates light from the lower part of the item, making the highest point of the picture; blue light will be light that is taken from the level; dark lines show light that is from the highest point of the article, making the lower part of the picture. The tallness of the picture is demonstrated by h.
Computing AFOV
While computing AFOV a couple of presumptions should be made:
That the item being imaged totally fills the camera sensor
That the focal point is at limitlessness center (for example at the point when a picture is framed from an item at vastness away)
The focal point is a pinhole
Figure 3: An outline demonstrating how the three presumptions can be utilized to compute the precise field of view (AFOV). By expecting the focal point is a pinhole and at vastness center, and that the article being imaged fills the sensor, a basic condition can be utilized to decide the AFOV (in degrees). Alludes to the point of view, as it is the point which catches the biggest article while as yet fitting the picture on the sensor.
Figure 3 shows an improved on form of how these presumptions take into account AFOV estimation. By utilizing geometry, the AFOV can be communicated as:
AFOV(°)=2tan-1(h2F)
where h is the level component of the sensor and F is the central length of the camera focal point.
Estimating FOV
To gauge the FOV of UV, apparent and infrared cameras, optical tests are normally utilized. During the test, light is engaged from a dark body (an item that assimilates all light that falls on it) onto a test focus at the central spot. By utilizing a bunch of mirrors, a virtual picture can be made that is at a vastly far distance.
This permits the FOV measurements (for example vertical and even distances) to be estimated without knowing focal point central length or sensor size. The picture made, including the objective, is then shown on a screen, with the objective picture being a subset of the full picture show. This permits the FOV to be approximated as:
FOV=AOV(dD)
Where D is the full presentation picture measurements (either flat or vertical), and d is the objective measurements (either level or vertical).
Outline
Field of view characterizes the most extreme space of an example that a camera can picture, dictated by the central length of the focal point and the sensor size.
Sensor size is dictated by both the size of the pixels and number of pixels on the sensor. This can be enhanced for every application, with bigger sensors ideal for affectability restricted applications, and more modest sensors ideal for goal restricted applications.
The central length of a focal point merges light with the goal that the picture of an article is engaged onto the sensor. This decides the precise field of view, a boundary of the general field of view. This is characterized as the point between any light caught at the flat and any light caught at the edge of the of the item. These boundaries assume a part in deciding the FOV of a camera and can be estimated utilizing either geometry and the precise field of view, or through an optical test, wherein a dark body is used to make a virtual picture