Before I explain about implicit surfaces, you tell be what is the gradient of a scalar surface/curve.

Say you define a 3D surface by the equation x*x + y*y + z*z = 9, we can easily see that this surface is nothing but a sphere with radius 3. Right ?

So Q(x,y,z) = x*x + y*y + z*z - 9 = 0.

What is the gradient of Q then ? it represents the normal at any point on this surface , and it is (2x,2y,2z) (not normalized).

Why i said this was to show you how easy it is compute the gradient of a surface with an explicit equation. We can also easily compute other properties related with that surface like tangent,curvature,etc.

But what can you do if you don't have such explicit equations. In practical things will be like this.

In Implicit form we can define a shape implicitly. Our shape

**must be closed and non-self intersecting**. With this agreement we can define the shape with following definitions.

Let P ( { Xi,Yi } ) be our point set which denotes the boundaries of our shape. We can define shape implicitly based on the following conditions.

1. For all points in shape boundaries ∅ (Pi) = 0

2. For all other points outside the shape ∅(Pi) must be > 0

3. For all other points inside the shape ∅(Pi) must be < 0 . (Conditions 2,3 can be interchanged though)

Based on the earlier definitions consider the above picture. Pixel's with green boundary is our shape where ∅(Pi) will be 0. pixels having red color will have negative value, and rest of the pixels (blue) will have positive value. This is how we define implicit functions for complicated shapes. In the next post I will show you how we can numerically compute the properties of these shapes from this definitions also will introduce about level sets. It is not a big deal( Actually i had intention to write more about this, but I lost my mood so stopping now )