ArticleslgStudy

mathematics

Pinhole camera model

Pinhole camera model is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Pinhole camera model rather than just read about it. In short: In computer vision and 3D computer graphics, the pinhole camera model describes the mathematical relationship between the coordinates of a point in three-dimensional space and its projection onto the image plane of an ideal pinhole camera, where the camera aperture is described as a point and no lenses are used to focus light. The model does not include, for example, geometric distortions or blurring of unfocused ob…

Pinhole camera model — main illustration
Pinhole camera model — illustration

Key takeaways

  • Pinhole camera model belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Pinhole camera model to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Pinhole camera model from memory before moving on to harder problems.

Reference excerpt

In computer vision and 3D computer graphics, the pinhole camera model describes the mathematical relationship between the coordinates of a point in three-dimensional space and its projection onto the image plane of an ideal pinhole camera, where the camera aperture is described as a point and no lenses are used to focus light. The model does not include, for example, geometric distortions or blurring of unfocused objects caused by lenses and finite area apertures. It also does not take into account that most practical cameras have only discrete image coordinates (pixel indices). This means that the pinhole camera model can only be used as a first order approximation of the mapping from a 3D scene to an image plane. Its validity depends on the quality of the camera and, in general, decreases from the center to the edges of the image, as lens distortion effects increase. Some of the effects that the pinhole camera model does not take into account can be compensated, for example by applying suitable coordinate transformations on the image coordinates; other effects are sufficiently small to be neglected if a high quality camera is used. This means that the pinhole camera model often can be used as a reasonable description of how a camera depicts a 3D scene.

Geometry

The geometry related to the mapping of a pinhole camera is illustrated in the figure. The figure contains the following basic objects:

A 3D orthogonal coordinate system with its origin at O. This is also where the camera aperture is located. The three axes of the coordinate system are referred to as X1, X2, X3. Axis X3 is pointing in the viewing direction of the camera and is referred to as the optical axis, principal axis, or principal ray. The plane which is spanned by axes X1 and X2 is the front side of the camera, or principal plane. An image plane, where the 3D world is projected through the aperture of the camera. The image plane is parallel to axes X1 and X2 and is located at distance f {\displaystyle f} from the origin O in the negative direction of the X3 axis, where f is the focal length of the pinhole camera. A practical implementation of a pinhole camera implies that the image plane is located such that it intersects the X3 axis at coordinate -f where f > 0. A point R at the intersection of the optical axis and the image plane. This point is referred to as the principal point or image center. A point P somewhere in the world at coordinate ( x 1 , x 2 , x 3 ) {\displaystyle (x_{1},x_{2},x_{3})} relative to the axes X1, X2, and X3. The projection line of point P into the camera. This is the green line which passes through point P and the point O. The projection of point P onto the image plane, denoted Q. This point is given by the intersection of the projection line (green) and the image plane. In any practical situation we can assume that x 3 {\displaystyle x_{3}} > 0 which means that the intersection point is well defined. There is also a 2D coordinate system in the image plane, with origin at R and with axes Y1 and Y2 which are parallel to X1 and X2, respectively. The coordinates of point Q relative to this coordinate system is ( y 1 , y 2 ) {\displaystyle (y_{1},y_{2})} . The pinhole aperture of the camera, through which all projection lines must pass, is assumed to be infinitely small, a point. In the literature this point in 3D space is referred to as the optical (or lens or camera) center.

Formulation Next we want to understand how the coordinates ( y 1 , y 2 ) {\displaystyle (y_{1},y_{2})} of point Q depend on the coordinates ( x 1 , x 2 , x 3 ) {\displaystyle (x_{1},x_{2},x_{3})} of point P. This can be done with the help of the following figure which shows the same scene as the previous figure but now from above, looking down in the negative direction of the X2 axis.

In this figure we see two similar triangles, both having parts of the projection line (green) as their hypotenuses. The catheti of the left triangle are − y 1 {\displaystyle -y_{1}} and f and the catheti of the right triangle are x 1 {\displaystyle x_{1}} and x 3 {\displaystyle x_{3}} . Since the two triangles are similar it follows that

− y 1 f = x 1 x 3 {\displaystyle {\frac {-y_{1}}{f}}={\frac {x_{1}}{x_{3}}}} or y 1 = − f x 1 x 3 {\displaystyle y_{1}=-{\frac {f\,x_{1}}{x_{3}}}}

… excerpt ends here. Continue reading the full article.

Illustrations

Pinhole camera model: A diagram of a pinhole camera.
A diagram of a pinhole camera.
Pinhole camera model: The geometry of a pinhole camera. Note: the x1x2x3 coordinate system in the figure is left-handed, that is the direction of the OZ axis is in reverse to the system the reader may be used to.
The geometry of a pinhole camera. Note: the x1x2x3 coordinate system in the figure is left-handed, that is the direction of the OZ axis is in reverse to the system the reader may be used to.
Pinhole camera model: The geometry of a pinhole camera as seen from the X2 axis
The geometry of a pinhole camera as seen from the X2 axis

Worked examples

Example 1 — a first encounter with Pinhole camera model

Start with the simplest possible case. Write down what Pinhole camera model claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Pinhole camera model before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Pinhole camera model ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Pinhole camera model

In research
Pinhole camera model appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Pinhole camera model in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Pinhole camera model is common in secondary-school and first-year university syllabi. It links to neighbouring topics Cameras, Geometry in computer vision, so understanding it makes those chapters shorter.
In everyday life
Look for Pinhole camera model outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Pinhole camera model in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Pinhole camera model means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Pinhole camera model out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Pinhole camera model in simple terms?

In computer vision and 3D computer graphics, the pinhole camera model describes the mathematical relationship between the coordinates of a point in three-dimensional space and its projection onto the image plane of an ideal pinhole camera, where the camera aperture is described as a point and no le…

Why does Pinhole camera model matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Pinhole camera model?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Pinhole camera model.

Tags

  • Cameras
  • Geometry in computer vision

Keep exploring