ml_sample_bcc.pot

ExperimentType = TRACED
Seed = -1

#Number of random samples for Random type experiment
RandomSamples = 10000000

#The minimum extent of the bounding box for the random experiment
RandomBoundingBoxMin = '-1 -1 -1'

#The maximum extent of the bounding box for the random experiment
RandomBoundingBoxMax = '1 1 1'


NumberOfGrids = 1

MainGridIdx = 0

[Grid0]
	Name = ML
	Type = BCC
	DataType    = FILE
	NormalType = FUNCTION

	ReconstructionFilter = BCC_QUINTIC_BOX_SPLINE
	NormalReconstructionFilter = BCC_QUINTIC_BOX_SPLINE
	NormalEstimatorFilter = BCC_NORMAL_SIZE_OPTIMAL16
	OnTheFlyNormals = OFF

	DataFunction = ML
	FunctionEvaluateMin  = '-1 -1 -1'
	FunctionEvaluateMax  = '1 1 1'
	FunctionEvaluateGrid = '40 40 80'

	XScale = 0.063492063492063
        YScale = 0.063492063492063
        ZScale = 0.031746031746032

	[./Data]
		DataFormat  = FLOAT
		ScalarFile  = data/MLBCC/32_data.vud
	[../]


#	GridPointDumpFile = new_grid.txt
[]

[Output]
#	TracedDumpFile = mlobb_bcd_fly_new.txt
	Image = mlobb_sampled_bcc.bmp
[]

[Camera]
	Type = PERSPECTIVE
	FOV  = 30.0
	NearPlane = 1
	FarPlane  = 1000
	Position  = '0 -3 3'
	Up        = '0 1 0'
	LookAt    = '0 0 0'
[]

[Tracer]
	Mode	      = DVR
	IsoSurface    = 0.5
	IsoSurfaceThreshold = 0.005
	Resolution    = '400 400'
	Preview       = OFF
	Shadowed      = OFF
	NumLights     = 1
	SuperSampling = OFF
	SamplingRate  = 200
	ShadowOffset  = 25
	AlphaTransfer = AlphaML
	ColorTransfer = ColorModel
[]

[Light0]
	Position = '0 0.4 -1 0'
	Color    = '1 1 1 1'
[]