colortracker.rar mixgauss.cpp

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/* 
 *  mixguass.cpp 
 *   
 * 
 *  Created by Josh Susskind 2004. 
 *  Copyright (c) 2004 Machine Perception Laboratory 
 *  University of California San Diego. 
 *  Please read the disclaimer and notes about redistribution 
 *  at the end of this file. 
 * 
 *  Authors: Josh Susskind 
 */ 
#include "mixgauss.h" 
#include  
#include  
#include  
 
static double SKINMEANS[16][3] = {{73.53, 29.94, 17.76}, 
	{249.71, 233.94, 217.49}, 
	{161.68, 116.25, 96.95}, 
	{186.07, 136.62, 114.40}, 
	{189.26, 98.37, 51.18}, 
	{247.00, 152.20, 90.84}, 
	{150.10, 72.66, 37.76}, 
	{206.85, 171.09, 156.34}, 
	{212.78, 152.82, 120.04}, 
	{234.87, 175.43, 138.94}, 
	{151.19, 97.74, 74.59}, 
	{120.52, 77.55, 59.82}, 
	{192.20, 119.62, 82.32}, 
	{214.29, 136.08, 87.24}, 
	{99.57, 54.33, 38.06}, 
	{238.88, 203.08, 176.91}}; 
 
static double SKINCOVARIANCES[16][3] = {{765.40, 121.44, 112.80}, 
	{39.94, 154.44, 396.05},  
	{291.03, 60.48, 162.85},  
	{274.95, 64.60, 198.27}, 
	{633.18, 222.40, 250.69},  
	{65.23, 691.53, 609.92}, 
	{408.63, 200.77, 257.57},  
	{530.08, 155.08, 572.79},  
	{160.57, 84.52, 243.90}, 
	{163.80, 121.57, 279.22}, 
	{425.40, 73.56, 175.11},  
	{330.45, 70.34, 151.82},  
	{152.76, 92.14, 259.15}, 
	{204.90, 140.17, 270.19}, 
	{448.13, 90.18, 151.29},  
	{178.38, 156.27, 404.99}}; 
	 
static double SKINWEIGHTS[16] = {0.0294,  
	0.0331, 
	0.0654, 
	0.0756, 
	0.0554, 
	0.0314, 
	0.0454, 
	0.0469, 
	0.0956, 
	0.0763, 
	0.1100, 
	0.0676, 
	0.0755, 
	0.0500, 
	0.0667, 
	0.0749}; 
 
static double NONSKINMEANS[16][3] = {{254.37, 254.41, 253.82}, 
{9.39, 8.09, 8.52}, 
{96.57, 96.95, 91.53},	 
{160.44, 162.49, 159.06},	 
{74.98, 63.23, 46.33},	 
{121.83, 60.88, 18.31},	 
{202.18, 154.88, 91.04},	 
{193.06, 201.93, 206.55},	 
{51.88, 57.14, 61.55},	 
{30.88, 26.84, 25.32},	 
{44.97, 85.96, 131.95},	 
{236.02, 236.27, 230.70},	 
{207.86, 191.20, 164.12},	 
{99.83, 148.11, 188.17},	 
{135.06, 131.92, 123.10},	 
{135.96, 103.89, 66.88}}; 
 
static double NONSKINCOVARIANCES[16][3] = {{2.77, 2.81, 5.46},	 
{46.84, 33.59, 32.48},	 
{280.69, 156.79, 436.58},	 
{355.98, 115.89, 591.24},	 
{414.84, 245.95, 361.27},	 
{2502.24, 1383.53, 237.18}, 
{957.42, 1766.94, 1582.52}, 
{562.88, 190.23, 447.28},	 
{344.11, 191.77, 433.40},	 
{222.07, 118.65, 182.41},	 
{651.32, 840.52, 963.67},	 
{225.03, 117.29, 331.95},	 
{494.04, 237.69, 533.52},	 
{955.88, 654.95, 916.70},	 
{350.35, 130.30, 388.43},	 
{806.44, 642.20, 350.36}}; 
 
static double NONSKINWEIGHTS[16] = {0.0637, 
0.0516, 
0.0864,  
0.0636,  
0.0747, 
0.0365,  
0.0349,  
0.0649, 
0.0656, 
0.1189, 
0.0362,  
0.0849, 
0.0368, 
0.0389,  
0.0943, 
0.0477}; 
 
double mixGauss::getMixProb(const int rgb[], double means[][3], double covariances[][3], double weights[]) { 
	int i, j; 
	const double PI = 3.14159265358979; 
	const double constTerm = pow(double(2.0)*PI, double(3.0)/double(2.0)); 
	double sumprobs = 0.0; 
	for (i = 0; i < 16; i++) { 
		double rootDetCov = sqrt(covariances[i][0] * covariances[i][1] * covariances[i][2]); 
		double ScalingTerm = double(1.0)/(constTerm*rootDetCov); 
		double sum = 0.0; 
		for (j = 0; j < 3; j++) { 
			sum += pow(rgb[j] - means[i][j], 2) / covariances[i][j]; 
		} 
    sumprobs += weights[i] * ScalingTerm * exp(-.5 * sum); 
	} 
	return (sumprobs); 
} 
 
skinMixGauss::skinMixGauss () : mixGauss() { 
	memcpy(m_Means, SKINMEANS, 16*3*sizeof(double)); 
	memcpy(m_Covariances, SKINCOVARIANCES, 16*3*sizeof(double)); 
	memcpy(m_Weights, SKINWEIGHTS, 16*sizeof(double)); 
} 
 
skinMixGauss::~skinMixGauss() {} 
 
double skinMixGauss::getMixProb(const int rgb[]) { 
	return(mixGauss::getMixProb(rgb, m_Means, m_Covariances, m_Weights)); 
} 
 
double skinMixGauss::getMixProb(const RGBTRIPLE rgbt) { 
	int rgb[3] = {(int)rgbt.rgbtRed, (int)rgbt.rgbtGreen, (int)rgbt.rgbtBlue}; 
	return(mixGauss::getMixProb(rgb, m_Means, m_Covariances, m_Weights)); 
} 
 
nonSkinMixGauss::nonSkinMixGauss () : mixGauss() { 
	memcpy(m_Means, NONSKINMEANS, 16*3*sizeof(double)); 
	memcpy(m_Covariances, NONSKINCOVARIANCES, 16*3*sizeof(double)); 
	memcpy(m_Weights, NONSKINWEIGHTS, 16*sizeof(double)); 
} 
 
nonSkinMixGauss::~nonSkinMixGauss(){} 
 
double nonSkinMixGauss::getMixProb(const int rgb[]) { 
	return(mixGauss::getMixProb(rgb, m_Means, m_Covariances, m_Weights)); 
} 
 
double nonSkinMixGauss::getMixProb(const RGBTRIPLE rgbt) { 
	int rgb[3] = {(int)rgbt.rgbtRed, (int)rgbt.rgbtGreen, (int)rgbt.rgbtBlue}; 
	return(mixGauss::getMixProb(rgb, m_Means, m_Covariances, m_Weights)); 
} 
 
/* 
 *  
 * Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 
 *  
 *    1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 
 *    2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 
 *    3. The name of the author may not be used to endorse or promote products derived from this software without specific prior written permission. 
 *  
 * THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 
 *  
 */