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BoxSampler Struct Reference

`#include <openvdb/tools/Interpolation.h>`

Inheritance diagram for BoxSampler:

## Static Public Member Functions

static const char * | name ()
static int | radius ()
static bool | mipmap ()
static bool | consistent ()
static bool | staggered ()
static size_t | order ()
template<class TreeT>
static bool | sample (const TreeT &inTree, const Vec3R &inCoord, typename TreeT::ValueType &result)
| Trilinearly reconstruct inTree at inCoord and store the result in result.
template<class TreeT>
static TreeT::ValueType | sample (const TreeT &inTree, const Vec3R &inCoord)
| Trilinearly reconstruct inTree at inCoord.
template<class ValueT, class TreeT, size_t N>
static void | getValues (ValueT(&data)[N][N][N], const TreeT &inTree, Coord ijk)
| Import all eight values from inTree to support tri-linear interpolation.
template<class ValueT, class TreeT, size_t N>
static bool | probeValues (ValueT(&data)[N][N][N], const TreeT &inTree, Coord ijk)
| Import all eight values from inTree to support tri-linear interpolation.
template<class ValueT, size_t N>
static void | extrema (ValueT(&data)[N][N][N], ValueT &vMin, ValueT &vMax)
| Find the minimum and maximum values of the eight cell values in @ data.
template<class ValueT, size_t N>
static ValueT | trilinearInterpolation (ValueT(&data)[N][N][N], const Vec3R &uvw)

## Member Function Documentation

## consistent()

bool consistent | ( |  | ) |

inlinestatic

## extrema()

template<class ValueT, size_t N>

void extrema | ( | ValueT(&) | data[N][N][N],
|  | ValueT & | vMin,
|  | ValueT & | vMax )

inlinestatic

Find the minimum and maximum values of the eight cell values in @ data.

## getValues()

template<class ValueT, class TreeT, size_t N>

void getValues | ( | ValueT(&) | data[N][N][N],
|  | const TreeT & | inTree,
|  | Coord | ijk )

inlinestatic

Import all eight values from inTree to support tri-linear interpolation.

## mipmap()

bool mipmap | ( |  | ) |

inlinestatic

## name()

const char * name | ( |  | ) |

inlinestatic

## order()

size_t order | ( |  | ) |

inlinestatic

## probeValues()

template<class ValueT, class TreeT, size_t N>

bool probeValues | ( | ValueT(&) | data[N][N][N],
|  | const TreeT & | inTree,
|  | Coord | ijk )

inlinestatic

Import all eight values from inTree to support tri-linear interpolation.

Returns
  `true` if any of the eight values are active

## radius()

int radius | ( |  | ) |

inlinestatic

## sample() [1/2]

template<class TreeT>

TreeT::ValueType sample | ( | const TreeT & | inTree,
|  | const Vec3R & | inCoord )

inlinestatic

Trilinearly reconstruct inTree at inCoord.

Returns
  the reconstructed value

## sample() [2/2]

template<class TreeT>

bool sample | ( | const TreeT & | inTree,
|  | const Vec3R & | inCoord,
|  | typename TreeT::ValueType & | result )

inlinestatic

Trilinearly reconstruct inTree at inCoord and store the result in result.

Returns
  `true` if any one of the sampled values is active.

## staggered()

bool staggered | ( |  | ) |

inlinestatic

## trilinearInterpolation()

template<class ValueT, size_t N>

ValueT trilinearInterpolation | ( | ValueT(&) | data[N][N][N],
|  | const Vec3R & | uvw )

inlinestatic

Returns
  the tri-linear interpolation with the unit cell coordinates uvw