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BoofCV is an open source Java library for real-time computer vision and robotics applications.

There is a newer version: 1.1.7

/*
 * Copyright (c) 2011-2017, Peter Abeles. All Rights Reserved.
 *
 * This file is part of BoofCV (http://boofcv.org).
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package boofcv.alg.feature.disparity.impl;

import boofcv.struct.image.GrayF32;

/**
 * 
 * Implementation of {@link ImplSelectRectStandardBase_S32} that adds sub-pixel accuracy. Using
 * equation (3) from [1]:

 *
 * d_sub = d + (C0 - C2)/(2*(C0 - 2*C1 + C2)

 *
 * where C0,C1,C2 is the cost value, before, at, and after the selected disparity.
 * 
 *
 * 
 * [1] Wannes van der Mark and Dariu M. Gavrila, "Real-Time Dense Stereo for Intelligent Vehicles"
 * IEEE Trans. Intelligent Transportation Systems, Vol 7., No 1. March 2006.
 * 
 *
 * @author Peter Abeles
 */
public class SelectRectSubpixel {

	/**
	 * For scores of type int[]
	 */
	public static class S32_F32 extends ImplSelectRectStandardBase_S32 {
		public S32_F32(int maxError, int rightToLeftTolerance, double texture) {
			super(maxError, rightToLeftTolerance, texture);
		}

		@Override
		protected void setDisparity(int index, int disparityValue) {

			if( disparityValue <= 0 || disparityValue >= localMax-1) {
				imageDisparity.data[index] = disparityValue;
			} else {
				int c0 = columnScore[disparityValue-1];
				int c1 = columnScore[disparityValue];
				int c2 = columnScore[disparityValue+1];

				float offset = (float)(c0-c2)/(float)(2*(c0-2*c1+c2));

				imageDisparity.data[index] = disparityValue + offset;
			}
		}

		@Override
		public Class getDisparityType() {
			return GrayF32.class;
		}
	}

	/**
	 * For scores of type float[]
	 */
	public static class F32_F32 extends ImplSelectRectStandardBase_F32 {
		public F32_F32(int maxError, int rightToLeftTolerance, double texture) {
			super(maxError, rightToLeftTolerance, texture);
		}

		@Override
		protected void setDisparity(int index, int disparityValue) {

			if( disparityValue <= 0 || disparityValue >= localMax-1) {
				imageDisparity.data[index] = disparityValue;
			} else {
				float c0 = columnScore[disparityValue-1];
				float c1 = columnScore[disparityValue];
				float c2 = columnScore[disparityValue+1];

				float offset = (c0-c2)/(2f*(c0-2f*c1+c2));

				imageDisparity.data[index] = disparityValue +  offset;
			}
		}

		@Override
		public Class getDisparityType() {
			return GrayF32.class;
		}
	}
}