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Description
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Computes the interpolated transformation matrix between matrixIn1 and matrixIn2. Quaternions are used internally. See also the section about positions, orientations and transformations |
C/C++
synopsis
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simInt simInterpolateMatrices(const simFloat* matrixIn1,const simFloat* matrixIn2,simFloat interpolFactor,simFloat* matrixOut)
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C/C++
parameters |
matrixIn1: the first input matrix
matrixIn2: the second input matrix
interpolFactor: the interpolation factor, a value between 0.0 and 1.0 (0.0--> matrixOut=matrixIn1, 1.0--> matrixOut=matrixIn2)
matrixOut: the output matrix (the result of the interpolation).
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C/C++
return value
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-1 if operation was not successful
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Lua
synopsis
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float[12] resultMatrix=sim.interpolateMatrices(float[12] matrixIn1,float[12] matrixIn2,float interpolFactor)
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Lua
parameters |
matrixIn1: the first input matrix (a table containing 12 values)
matrixIn2: the second input matrix (a table containing 12 values)
interpolFactor: the interpolation factor, a value between 0.0 and 1.0 (0.0--> resultMatrix=matrixIn1, 1.0--> resultMatrix=matrixIn2)
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Lua
return values
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resultMatrix: the result matrix (a table containing 12 values)
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Python
synopsis |
list resultMatrix=sim.interpolateMatrices(list matrixIn1,list matrixIn2,float interpolFactor) |
