In an affine space there’s the concept of affine combination which states that any point in space can be represented as a affine combination in the form

$$a + \sum_{i \in I} \lambda_i \mathbf{aa_i} \quad \quad \text{if \sum_{i \in I} \lambda_i = 1}$$

We can add an additional restriction on the values of $\lambda_i$ to define a triangle built out of three points, if $\lambda_1 = \beta, \lambda_2 = \gamma$, $\beta + \gamma = 1$ and $\beta, \gamma \in [0,1]$ then a triangle is defined as the affine combination

$$a + \beta \mathbf{ab} + \gamma \mathbf{ac}$$

One geometric property of the scalar values is that they’re the signed scaled distance from the lines that pass through the triangle sides, to compute the scalar values $\beta$ and $\gamma$ we can use the fact that when the implicit equation of the line that pass through a side is evaluated with points that don’t lie on the line the result is equal to

$$f(x,y) = d_{(x,y)} \cdot \sqrt{A^2 + B^2}$$

Where $d_{(x,y)}$ is the distance from the point $(x,y)$ to the line, $A$ and $B$ are the coefficients of $x$ and $y$ of the general equation of the line that passes through $a$ and $c$

$$Ax + Bx + C = 0$$

To find the value of $\beta$ we can use the value of the implicit equation of the line to map the distance between any point to the line in the range $[f_{ac}(x_a, y_a), f_{ac}(x_b, y_b)] = [0, f_{ac}(x_b, y_b)]$, we can use a simple division to find the value of $\beta$

$$\beta = \frac{f_{ac}(x,y)}{f_{ac}(x_b, y_b)} = \frac{d_{(x,y)}}{d_{(x_b, y_b)}}$$

In a similar fashion the value of $\gamma$ is

$$\gamma = \frac{f_{ab}(x,y)}{f_{ab}(x_c, y_c)} = \frac{d_{(x,y)}}{d_{(x_c, y_c)}}$$

• Shirley, P. and Ashikhmin, M. (2005). Fundamentals of computer graphics. Wellesley, Mass.: AK Peters.