Help with parameterization of surface

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In summary, the problem is asking for a parameterization of the given surface that preserves the orientation, meaning that the normal vector points outward. This can be achieved by choosing a parameterization that results in a positive direction for the cross product of the partial derivatives.
  • #1
Kuma
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Homework Statement



If I have been given a surface x = 12 − y^2 − z^2 between x = 3 and x = 8, oriented by the unit normal which points away from the x–axis.

I want to find an orientation preserving parameterization.

Homework Equations





The Attempt at a Solution



I know orientation preserving means that the normal vector is pointing outward. I'm not sure how to apply this to parameterize this surface however.
 
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  • #2
Kuma said:

Homework Statement



If I have been given a surface x = 12 − y^2 − z^2 between x = 3 and x = 8, oriented by the unit normal which points away from the x–axis.

I want to find an orientation preserving parameterization.

Homework Equations





The Attempt at a Solution



I know orientation preserving means that the normal vector is pointing outward. I'm not sure how to apply this to parameterize this surface however.

Parameterization and orientation are separate issues. Try cylindrical like coordinates only on y and z instead of x and y.
 
  • #3
LCKurtz said:
Parameterization and orientation are separate issues. Try cylindrical like coordinates only on y and z instead of x and y.

I figure I can parameterize it no problem but the question literally asks what I said. Find an orientation preserving parameterization. What does that mean?
 
  • #4
Kuma said:
I figure I can parameterize it no problem but the question literally asks what I said. Find an orientation preserving parameterization. What does that mean?

I have seen instances when textbooks say the parameterization itself determines the orientation. For example, if your surface is parameterized as ## \vec R =\vec R(u,v)##, then the direction of ##\vec R_u \times \vec R_v## determines the positive orientation of the surface. So, if you parameterize your surface using ##r## and ##\theta##, one or the other of ##\vec R_r\times \vec R_\theta## or ##\vec R_\theta\times\vec R_r## will point in the direction that was specified by the problem. If it is the first, then write your parameterization as ##\vec R = \vec R(r,\theta)= \ ...## and if it is the second write it as ##\vec R = \vec R(\theta,r)=\ ...##. Personally, I don't care for that notion because, as in your problem, the orientation is given separately. Anyway, that's my best guess what it might mean.
 

FAQ: Help with parameterization of surface

What is surface parameterization?

Surface parameterization is the process of defining a mathematical representation of a surface in three-dimensional space. It involves breaking down a complex surface into simpler parts in order to make it easier to analyze and manipulate. This is often done in computer graphics and visualization, as well as in fields such as computer-aided design and manufacturing.

Why is surface parameterization important?

Surface parameterization is important because it allows us to accurately represent complex surfaces in a simpler and more manageable way. This makes it easier to perform calculations and simulations, as well as to create and manipulate digital models. It also enables us to visualize and analyze surfaces in more detail, leading to better understanding and insights.

What are some common methods for surface parameterization?

There are several methods for surface parameterization, including triangulation, spline fitting, and parametric surface fitting. Triangulation involves dividing a surface into a network of triangles, while spline fitting uses mathematical curves to approximate a surface. Parametric surface fitting involves finding a set of parameters that describe the surface and using those to create a mathematical representation.

How does surface parameterization impact computer graphics and visualization?

In computer graphics and visualization, surface parameterization is crucial for creating realistic and accurate 3D models. It allows for smooth and efficient rendering of surfaces, as well as realistic lighting and shading effects. It also enables the creation of complex shapes and surfaces that would be difficult or impossible to represent without parameterization.

Can surface parameterization be applied to real-world objects?

Yes, surface parameterization can be applied to real-world objects in various industries, such as architecture, engineering, and manufacturing. It is commonly used in computer-aided design and manufacturing to create digital models of physical objects for analysis and production. It can also be used in fields like medical imaging and geology to analyze and visualize real-world surfaces and structures.

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