What does it mean to "translate" a graphics object? - graphics

Not a long question. Can anyone explain what the word "translation" means in the context of graphics? Thanks a lot.

Translation is just moving something (up, down, or sideways).

Move an object - don't rotate or scale or distort it, just move it

Translation, as said, is moving an object. This is one of the affine transformations (which means it doesn't distort the object). There are a few others, the 2D versions of which are described here. (Note that shearing, the final one listed, isn't affine).

It literally means to translate coordinates from one graph system to another using a mathmatical function.
In normal 2d/3d geometry this is accomplished by adding or subtracting values to move the origin of one system to the orgin of the other.
Ie - move the object from one spot to another.
(Ps this is somewhat simplified.)

Related

Combining CGContext Geometry

Does anyone know if it is possible to combine (for example) different CGContext paths to create a new combined shape as in this example?
Thanks!
I found a library that does Union operations on CGPaths:
https://bitbucket.org/martinwinter/vectorbooleancg
I haven't tried it yet, but the author of the CG branch of Vectorbool, Martin Winter, states that the union operation should be usable in its current form on iOS. I will add information when I get around to trying to implement it.
I doubt that there is an Apple lib that supports this feature.
What you need is a so called "union of two (or more) polygons", sometimes called boolean operations on polygons.
I would convert the CGPath to a polygon, probably you start creating a point array that contains your polygon points. That means to not use CGPathAddEllipse, but to approximate the shapes , by e.g a regular polygon with something between 64 and 256 vertices.
You can easily calculate the points of a circle or ellipse for yourself (using something similar to a*cos(t), b*sin(t) see wikipedia for ellipse "parameter formula")
Then you take one of the c libraries that provide these "union operation".
One of that is the LEDA lib.

Find normal of a plane by given then intersection line and the normal of another Plane

Normally Intersection of two planes A and B (not parallel) will return a line L. I know how to implement this, but if now given a plane A and the line of intersection L to find plane B. Is there a solution? Thanks in advance!
No, it is not possible to find (or "recover") the plane B, because an infinite number of planes (Bs) can intersect plane A exactly at the line L but still are allowed to "hinge" (or rotate) about it (within certain limits of course so as to not be parallel as you mention).
You need a little bit more information to define one single plane (three points, a point and a line, a point and a normal vector, for more information please see here). Also, Paul Bourke's website contains really a wealth of information if you are working in computer graphics.
Perhaps there is a way to get this little bit of information from your problem (?)
(By the way, i am not sure that this a question for Stackoverflow, perhaps it would fit better to the Mathematics part)

Point in Polygon check with SVG and JavaScript?

I have a map that I converted from a raster graphic into an SVG file by converting the differently coloured areas into paths.
I know how to do a basic point-in-polygon check given an array of edges, but the svg:path elements represent multiple polygons as well as masks (to account for seas etc) and extracting that information by parsing the d attribute seems rather heavy-handed.
Is there a JS library that allows me to simplify that check? I basically want to create random points and then check whether they are on land (i.e. inside the polygons) or water (i.e. outside).
As SVG elements seem to allow for mouse event handling, I would think that this shouldn't be much of a problem (i.e. if you can tell whether the mouse pointer is on top of an element, you are already solving the point-in-polygon problem).
EDIT: Complicating the matter a bit, I should mention that the svg:path elements seem to be based on curves rather than lines, so just parsing the d attribute to create an array of edges doesn't seem to be an option.
As the elements can take a fill attribute, a ghetto approach of rendering the SVG on a canvas and then finding the colour value of the pixel at the given point could work, but that seems like a really, really awful way to do it.
The answers on Hit-testing SVG shapes? may help you in this quest. There are issues with missing browser support, but you could perhaps use svgroot.checkIntersection to hit test a small (perhaps even 0 width/height would work?) rectangle within your polygon shape.
The approach I suggested as a last resort seems to be the easiest solution for this problem.
I found a nice JS library that makes it easy to render SVG on a canvas. With the SVG rendered, all it takes is a call to the 2D context's getImageData method for a 1x1 region at the point you want to check. I guess it helps to create a copy of the SVG with colour coding to make the check easier if your SVG is more complex than the one I'm using (you'll have to check the RGBA value byte-by-byte).
This feels terribly hackish as you're actually inspecting the pixels of a raster image, but the performance seems to be decent enough and the colour checks can be written in a way that allows for impurities (e.g. near the edges).
I guess if you want relative coordinates you could try creating a 1-to-1 sized canvas and then divide the pixel coordinates by the canvas dimensions.
If somebody comes up with a better answer, I'll accept it instead. Until then, this one serves as a placeholder in case someone comes here with the same problem looking for an easy solution.

Modelling an I-Section in a 3D Graphics Library

I am using Direct3D to display a number of I-sections used in steel construction. There could be hundreds of instances of these I-sections all over my scene.
I could do this two ways:
Using method A, I have fewer surfaces. However, with backface culling turned on, the surfaces will be visible from only one side. If backface culling is turned off, then the flanges (horizontal plates) and web (vertical plate) may be rendered in the wrong order.
Method B seems correct (and I could keep backface culling turned on), but in my model the thickness of plates in the I-section is of no importance and I would like to avoid having to create a separate triangle strip for each side of the plates.
Is there a better solution? Is there a way to switch off backface culling for only certain calls of DrawIndexedPrimitives? I would also like a platform-neutral answer to this, if there is one.
First off, backface culling doesn't have anything to do with the order in which objects are rendered. Other than that, I'd go for approach B for no particular reason other than that it'll probably look better. Also this object probably isn't more than a hand full of triangles; having hundreds in a scene shouldn't be an issue. If it is, try looking into hardware instancing.
In OpenGL you can switch of backface culling for each triangle you draw:
glEnable(GL_CULL_FACE);
glCullFace(GL_FRONT);
// or
glCullFace(GL_BACK);
I think something similar is also possible in Direct3D
If your I-sections don't change that often, load all the sections into one big vertex/index buffer and draw them with a single call. That's the most performant way to draw things, and the graphic card will do a fast job even if you push half a million triangle to it.
Yes, this requires that you duplicate the vertex data for all sections, but that's how D3D9 is intended to be used.
I would go with A as the distance you would be seeing the B from would be a waste of processing power to draw all those degenerate triangles.
Also I would simply fire them at a z-buffer and allow that to sort it all out.
If it get's too slow then I would start looking at optimizing, but even consumer graphics cards can draw millions of polygons per second.

What is the best approach to compute efficiently the first intersection between a viewing ray and a set of objects?

For instance:
An approach to compute efficiently the first intersection between a viewing ray and a set of three objects: one sphere, one cone and one cylinder (other 3D primitives).
What you're looking for is a spatial partitioning scheme. There are a lot of options for dealing with this, and lots of research spent in this area as well. A good read would be Christer Ericsson's Real-Time Collision Detection.
One easy approach covered in that book would be to define a grid, assign all objects to all cells it intersects, and walk along the grid cells intersecting the line, front to back, intersecting with each object associated with that grid cell. Keep in mind that an object might be associated with more grid-cells, so the intersection point computed might actually not be in the current cell, but actually later on.
The next question would be how you define that grid. Unfortunately, there's no one good answer, and you need to consider what approach might fit your scenario best.
Other partitioning schemes of interest are different tree structures, such as kd-, Oct- and BSP-trees. You could even consider using trees combined with a grid.
EDIT
As pointed out, if your set is actually these three objects, you're definately better of just intersecting each one, and just pick the earliest one. If you're looking for ray-sphere, ray-cylinder, etc, intersection tests, these are not really hard and a quick google should supply all the math you might possibly need. :)
"computationally efficient" depends on how large the set is.
For a trivial set of three, just test each of them in turn, it's really not worth trying to optimise.
For larger sets, look at data structures which divide space (e.g. KD-Trees). Whole chapters (and indeed whole books) are dedicated to this problem. My favourite reference book is An Introduction to Ray Tracing (ed. Andrew. S. Glassner)
Alternatively, if I've misread your question and you're actually asking for algorithms for ray-object intersections for specific types of object, see the same book!
Well, it depends on what you're really trying to do. If you'd like to produce a solution that is correct for almost every pixel in a simple scene, an extremely quick method is to pre-calculate "what's in front" for each pixel by pre-rendering all of the objects with a unique identifying color into a background item buffer using scan conversion (aka the z-buffer). This is sometimes referred to as an item buffer.
Using that pre-computation, you then know what will be visible for almost all rays that you'll be shooting into the scene. As a result, your ray-environment intersection problem is greatly simplified: each ray hits one specific object.
When I was doing this many years ago, I was producing real-time raytraced images of admittedly simple scenes. I haven't revisited that code in quite a while but I suspect that with modern compilers and graphics hardware, performance would be orders of magnitude better than I was seeing then.
PS: I first read about the item buffer idea when I was doing my literature search in the early 90s. I originally found it mentioned in (I believe) an ACM paper from the late 70s. Sadly, I don't have the source reference available but, in short, it's a very old idea and one that works really well on scan conversion hardware.
I assume you have a ray d = (dx,dy,dz), starting at o = (ox,oy,oz) and you are finding the parameter t such that the point of intersection p = o+d*t. (Like this page, which describes ray-plane intersection using P2-P1 for d, P1 for o and u for t)
The first question I would ask is "Do these objects intersect"?
If not then you can cheat a little and check for ray collisions in order. Since you have three objects that may or may not move per frame it pays to pre-calculate their distance from the camera (e.g. from their centre points). Test against each object in turn, by distance from the camera, from smallest to largest. Although the empty space is the most expensive part of the render now, this is more effective than just testing against all three and taking a minimum value. If your image is high res then this is especially efficient since you amortise the cost across the number of pixels.
Otherwise, test against all three and take a minimum value...
In other situations you may want to make a hybrid of the two methods. If you can test two of the objects in order then do so (e.g. a sphere and a cube moving down a cylindrical tunnel), but test the third and take a minimum value to find the final object.

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