HEALPix with texture UV mapping

Question

I found an implementation of the HEALpix algorithm this is the dokumentation And the output looks very nice.

The following images show the latitude / longitude conversion to HEALpix areas. The x-axe goes from 0 to 2 * pi. The y-axe goes from 0 to pi. The grey color represents the HEALpix pixel encoded in grey.

Nside = 1

Nside = 2

Nside = 4

Nside = 8

The different grey values are the IDs for the texture I have to use. That means, that each HEALpix pixel represents one texture. The missing part is the UV mapping within each of the HEALpix pixels like shown below:

nSide = 1 with UV mapping

Right now I am using the function:

void ang2pix_ring( const long nside, double theta, double phi, long *ipix)

Which gives me the correct texture ID. But I've no idea how to calculate the UV mapping for each HEALpix pixel. Is there a way to calculate all four corners in lat/lon coordinates of a HEALpix pixel? Or even better a direct calculation to the UV coordinates?

BTW: I am using the RING scheme. But if the NESTED scheme is simpler to calculate I also would change to that.

score 0 · Accepted Answer · answered Oct 28 '20 at 12:38

After a lot of research I came to a solution for this problem:

First of all, I've changed the scheme to NESTED. With the NESTED scheme and a very high nSide value (8192), the returned value from the

void ang2pix_ring( const long nside, double theta, double phi, long *ipix)

function gives back a long value where the UV coordinates can be read out in the following way:

Bit 26 till 30 represents the level 0 (only the 12 HEALPix pixels).

By using higher levels, the Bits from 30 till 26 - (level * 2) represents the HEALPix pixels.

The leftover 26 - (level * 2) - 1 till bit 1 encode the UV texture-coordinates in the following way:

Each second odd bit shrink together represents the U coordinate and the even once represents the V coordinate. To normalize these UV-coordinates the responding shrinked values need to be divided by the value of pow(2, (26 - level * 2) / 2).

Code says more than 1000 words:

unsigned long ignoreEverySecondBit(unsigned long value, bool odd, unsigned int countBits)
{
    unsigned long result = 0;
    unsigned long mask = odd == true ? 0b1 : 0b10;
    countBits = countBits / 2;
    for (int i = 0; i < countBits; ++i)
    {
        if ((value & mask) != 0)
        {
            result += std::pow(2, i);
        }
        mask = mask << 2;
    }

    return result;
}


//calculate the HEALPix values:
latLonToHealPixNESTED(nSide, theta, phi, &pix);

result.level = level;
result.texture = pix >> (26 - level * 2);
result.u = static_cast<float>(ignoreEverySecondBit(pix, true, 26 - level * 2));
result.v = static_cast<float>(ignoreEverySecondBit(pix, false, 26 - level * 2));

result.u = result.u / pow(2, (26 - level * 2) / 2);
result.v = result.v / pow(2, (26 - level * 2) / 2);

And of cause a few images to show the results. The blue value represents the textureID, the red value represents the U-coordinate and the green value represents the V-coordinate:

Level 0

Level 1

Level 2

Level 3

Level 4

I hope this solution will help others too.

HEALPix with texture UV mapping

1 Answers1