Geometry
Projective geometry
Geometry of points at infinity and perspective, where parallel lines meet on a horizon line.
IntuitionWhere Do Parallel Lines Meet?
Stand between two long straight railroad tracks and look down the line: the two rails, which never actually meet, appear to converge at a single point on the horizon. A painter uses exactly this trick, drawing parallel edges of a building so they meet at a vanishing point. Projective geometry takes this appearance seriously: it adds one "point at infinity" to each direction, so that every pair of lines, even parallel ones, meets in exactly one point. This single extra idea unifies perspective drawing, camera geometry and some of the oldest theorems about points, lines and conics.
UndergraduateHomogeneous Coordinates on the Projective Plane
Definition: The real projective plane
A point of the real projective plane is an equivalence class of nonzero triples , written , where two triples represent the same point exactly when one is a nonzero scalar multiple of the other.
The ordinary (affine) plane embeds into by sending to . Points with do not come from any ordinary point; they form the line at infinity and correspond to directions, one point at infinity for every family of parallel lines.
Definition: Point–line duality
A line in is the set of points satisfying a linear equation for fixed coefficients (also defined only up to scale). Because a point lies on a line exactly when , an equation completely symmetric in the two triples, every true statement about points and lines has a dual statement obtained by swapping the words "point" and "line" and "lie on" with "pass through".
| Statement about points | Dual statement about lines |
|---|---|
| Two distinct points determine a unique line | Two distinct lines determine a unique point (their intersection) |
| Three points are collinear | Three lines are concurrent |
| A point lies on a line | A line passes through a point |
AdvancedCross-Ratio and the Classical Configuration Theorems
Definition: Cross-ratio
For four distinct collinear points , the cross-ratio is the ratio of the two signed division ratios in which and split the segment . It is the fundamental numerical invariant of projective geometry: unlike distances or ordinary ratios, it survives perspective drawing.
AdvancedKey Theorems
If a projective transformation of maps four collinear points to on the image line, then the cross-ratios agree: .
Why is it true?
A projective transformation is represented by an invertible linear map on homogeneous coordinates, and the cross-ratio is built only from coefficients expressing two of the points as linear combinations of the other two; since a linear map preserves linear combinations exactly, it cannot change those coefficients, so the cross-ratio survives.
Proof
Represent the four collinear points by homogeneous coordinate vectors lying in a common 2-dimensional subspace, and represent by an invertible matrix , so that applied to a point with vector has homogeneous coordinates .
Because are collinear, representatives can be chosen so that and for scalars ; the cross-ratio is defined purely in terms of these four scalars, specifically as .
Applying the linear map gives and , because matrix multiplication distributes over linear combinations; so the very same scalars express and in terms of and .
Since the cross-ratio depends only on these scalars and they are unchanged by , we conclude , which is exactly the claimed invariance.
Let triangles and be such that lines , , meet at a common point (the triangles are in perspective from a point). Then the three points , , are collinear (the triangles are in perspective from a line).
Why is it true?
Working purely inside the flat plane, the claim looks delicate because it mixes many different lines. Lifting the picture into three-dimensional space turns every incidence into an intersection of planes, and two distinct planes always meet in a line, which forces the three points onto one common line.
Proof
Regard the two triangles as lying in a plane inside , and construct, above , a spatial configuration: a point not in , and two triangles and in two different planes through space, positioned so that lines , , all pass through , and so that projecting this spatial picture back onto recovers the original triangles and in perspective from .
In this spatial picture, the line and the line both lie in the plane spanned by (since and lie on lines through and respectively), so these two lines meet at a point ; similarly and exist in space as the analogous intersections for sides and .
The three points all lie in the plane containing triangle , since each is built from a pair of its sides, and simultaneously in the plane containing . Hence lie on the line where these two planes intersect, because any two distinct planes in space meet in exactly one line.
Projecting this spatial configuration back down onto the plane sends to and preserves collinearity, since a projection from a point sends any line to a line. Therefore are collinear in , which is exactly Desargues' theorem.
UndergraduatePractical Applications and Worked Examples
Projective geometry underlies computer vision and photogrammetry (recovering 3D scene structure from 2D photographs uses the projective camera model and homogeneous coordinates), computer graphics (the perspective projection matrix in every 3D rendering pipeline is a projective transformation), and coding theory (finite projective planes give projective Reed–Muller error-correcting codes used in data storage and network transmission).
Example: Recovering a Vanishing Point
Two parallel rail tracks are photographed by a pinhole camera. In the photograph, one rail passes through pixel points and , and the other rail passes through pixel points and . Model each rail as a projective line via homogeneous coordinates and find the vanishing point where the two image lines meet.
Solution
Write each pixel as a homogeneous point . The cross product of two points on a line gives the line's homogeneous coordinates ; for the first rail, , so the first rail is the line .
Repeating the same cross product for the second rail's points and gives , i.e. the line .
The vanishing point is where the two lines meet: subtracting the two equations eliminates , giving , so ; substituting back gives .
So the vanishing point sits at pixel : the point where the two rails, which never meet in the real world, appear to converge in the photograph, exactly as projective geometry predicts for parallel lines meeting on the line at infinity, mapped by the camera's perspective to a finite point in the image.
Example: Cross-Ratio on a Number Line
On a number line, points have signed coordinates respectively. Compute the cross-ratio .
Solution
Using the definition , first compute the signed lengths: , , , .
Form the two ratios: and .
Divide the first ratio by the second: .
So ; because cross-ratio is a projective invariant, any projective transformation applied to produces four new points whose cross-ratio is still exactly , by the invariance theorem proved above.
Which of the following homogeneous triples represents the same projective point as ?
A line in the projective plane has homogeneous equation . Which affine point (with ) lies on this line?
In the real projective plane, what is the dual statement of "three points are collinear"?
In photogrammetry, two edges of a building that are parallel in reality appear in a photograph as line segments that, when extended, intersect at a single pixel. What projective concept explains this intersection?
References
- H. S. M. Coxeter (1974). Projective Geometry
- Jürgen Richter-Gebert (2011). Perspectives on Projective Geometry: A Guided Tour Through Real and Complex Geometry
- Wikipedia contributors (2026). Pascal's theorem — Wikipedia
- Wikipedia contributors (2026). Lam's problem — Wikipedia