| /* |
| * Copyright (C) 2008-2009 The Android Open Source Project |
| * |
| * 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 android.gesture; |
| |
| import android.graphics.RectF; |
| import android.util.Log; |
| |
| import java.util.ArrayList; |
| import java.util.Arrays; |
| import java.io.Closeable; |
| import java.io.IOException; |
| |
| import static android.gesture.GestureConstants.*; |
| |
| final class GestureUtilities { |
| private static final int TEMPORAL_SAMPLING_RATE = 16; |
| |
| private GestureUtilities() { |
| } |
| |
| /** |
| * Closes the specified stream. |
| * |
| * @param stream The stream to close. |
| */ |
| static void closeStream(Closeable stream) { |
| if (stream != null) { |
| try { |
| stream.close(); |
| } catch (IOException e) { |
| Log.e(LOG_TAG, "Could not close stream", e); |
| } |
| } |
| } |
| |
| static float[] spatialSampling(Gesture gesture, int sampleMatrixDimension) { |
| final float targetPatchSize = sampleMatrixDimension - 1; // edge inclusive |
| float[] sample = new float[sampleMatrixDimension * sampleMatrixDimension]; |
| Arrays.fill(sample, 0); |
| |
| RectF rect = gesture.getBoundingBox(); |
| float sx = targetPatchSize / rect.width(); |
| float sy = targetPatchSize / rect.height(); |
| float scale = sx < sy ? sx : sy; |
| |
| float preDx = -rect.centerX(); |
| float preDy = -rect.centerY(); |
| float postDx = targetPatchSize / 2; |
| float postDy = targetPatchSize / 2; |
| |
| final ArrayList<GestureStroke> strokes = gesture.getStrokes(); |
| final int count = strokes.size(); |
| |
| int size; |
| float xpos; |
| float ypos; |
| |
| for (int index = 0; index < count; index++) { |
| final GestureStroke stroke = strokes.get(index); |
| float[] strokepoints = stroke.points; |
| size = strokepoints.length; |
| |
| final float[] pts = new float[size]; |
| |
| for (int i = 0; i < size; i += 2) { |
| pts[i] = (strokepoints[i] + preDx) * scale + postDx; |
| pts[i + 1] = (strokepoints[i + 1] + preDy) * scale + postDy; |
| } |
| |
| float segmentEndX = -1; |
| float segmentEndY = -1; |
| |
| for (int i = 0; i < size; i += 2) { |
| |
| float segmentStartX = pts[i] < 0 ? 0 : pts[i]; |
| float segmentStartY = pts[i + 1] < 0 ? 0 : pts[i + 1]; |
| |
| if (segmentStartX > targetPatchSize) { |
| segmentStartX = targetPatchSize; |
| } |
| |
| if (segmentStartY > targetPatchSize) { |
| segmentStartY = targetPatchSize; |
| } |
| |
| plot(segmentStartX, segmentStartY, sample, sampleMatrixDimension); |
| |
| if (segmentEndX != -1) { |
| // evaluate horizontally |
| if (segmentEndX > segmentStartX) { |
| xpos = (float) Math.ceil(segmentStartX); |
| float slope = (segmentEndY - segmentStartY) / (segmentEndX - segmentStartX); |
| while (xpos < segmentEndX) { |
| ypos = slope * (xpos - segmentStartX) + segmentStartY; |
| plot(xpos, ypos, sample, sampleMatrixDimension); |
| xpos++; |
| } |
| } else if (segmentEndX < segmentStartX){ |
| xpos = (float) Math.ceil(segmentEndX); |
| float slope = (segmentEndY - segmentStartY) / (segmentEndX - segmentStartX); |
| while (xpos < segmentStartX) { |
| ypos = slope * (xpos - segmentStartX) + segmentStartY; |
| plot(xpos, ypos, sample, sampleMatrixDimension); |
| xpos++; |
| } |
| } |
| |
| // evaluating vertically |
| if (segmentEndY > segmentStartY) { |
| ypos = (float) Math.ceil(segmentStartY); |
| float invertSlope = (segmentEndX - segmentStartX) / (segmentEndY - segmentStartY); |
| while (ypos < segmentEndY) { |
| xpos = invertSlope * (ypos - segmentStartY) + segmentStartX; |
| plot(xpos, ypos, sample, sampleMatrixDimension); |
| ypos++; |
| } |
| } else if (segmentEndY < segmentStartY) { |
| ypos = (float) Math.ceil(segmentEndY); |
| float invertSlope = (segmentEndX - segmentStartX) / (segmentEndY - segmentStartY); |
| while (ypos < segmentStartY) { |
| xpos = invertSlope * (ypos - segmentStartY) + segmentStartX; |
| plot(xpos, ypos, sample, sampleMatrixDimension); |
| ypos++; |
| } |
| } |
| } |
| |
| segmentEndX = segmentStartX; |
| segmentEndY = segmentStartY; |
| } |
| } |
| |
| |
| return sample; |
| } |
| |
| private static void plot(float x, float y, float[] sample, int sampleSize) { |
| x = x < 0 ? 0 : x; |
| y = y < 0 ? 0 : y; |
| int xFloor = (int) Math.floor(x); |
| int xCeiling = (int) Math.ceil(x); |
| int yFloor = (int) Math.floor(y); |
| int yCeiling = (int) Math.ceil(y); |
| |
| // if it's an integer |
| if (x == xFloor && y == yFloor) { |
| int index = yCeiling * sampleSize + xCeiling; |
| if (sample[index] < 1){ |
| sample[index] = 1; |
| } |
| } else { |
| double topLeft = Math.sqrt(Math.pow(xFloor - x, 2) + Math.pow(yFloor - y, 2)); |
| double topRight = Math.sqrt(Math.pow(xCeiling - x, 2) + Math.pow(yFloor - y, 2)); |
| double btmLeft = Math.sqrt(Math.pow(xFloor - x, 2) + Math.pow(yCeiling - y, 2)); |
| double btmRight = Math.sqrt(Math.pow(xCeiling - x, 2) + Math.pow(yCeiling - y, 2)); |
| double sum = topLeft + topRight + btmLeft + btmRight; |
| |
| double value = topLeft / sum; |
| int index = yFloor * sampleSize + xFloor; |
| if (value > sample[index]){ |
| sample[index] = (float) value; |
| } |
| |
| value = topRight / sum; |
| index = yFloor * sampleSize + xCeiling; |
| if (value > sample[index]){ |
| sample[index] = (float) value; |
| } |
| |
| value = btmLeft / sum; |
| index = yCeiling * sampleSize + xFloor; |
| if (value > sample[index]){ |
| sample[index] = (float) value; |
| } |
| |
| value = btmRight / sum; |
| index = yCeiling * sampleSize + xCeiling; |
| if (value > sample[index]){ |
| sample[index] = (float) value; |
| } |
| } |
| } |
| |
| /** |
| * Featurize a stroke into a vector of a given number of elements |
| * |
| * @param stroke |
| * @param sampleSize |
| * @return a float array |
| */ |
| static float[] temporalSampling(GestureStroke stroke, int sampleSize) { |
| final float increment = stroke.length / (sampleSize - 1); |
| int vectorLength = sampleSize * 2; |
| float[] vector = new float[vectorLength]; |
| float distanceSoFar = 0; |
| float[] pts = stroke.points; |
| float lstPointX = pts[0]; |
| float lstPointY = pts[1]; |
| int index = 0; |
| float currentPointX = Float.MIN_VALUE; |
| float currentPointY = Float.MIN_VALUE; |
| vector[index] = lstPointX; |
| index++; |
| vector[index] = lstPointY; |
| index++; |
| int i = 0; |
| int count = pts.length / 2; |
| while (i < count) { |
| if (currentPointX == Float.MIN_VALUE) { |
| i++; |
| if (i >= count) { |
| break; |
| } |
| currentPointX = pts[i * 2]; |
| currentPointY = pts[i * 2 + 1]; |
| } |
| float deltaX = currentPointX - lstPointX; |
| float deltaY = currentPointY - lstPointY; |
| float distance = (float) Math.sqrt(deltaX * deltaX + deltaY * deltaY); |
| if (distanceSoFar + distance >= increment) { |
| float ratio = (increment - distanceSoFar) / distance; |
| float nx = lstPointX + ratio * deltaX; |
| float ny = lstPointY + ratio * deltaY; |
| vector[index] = nx; |
| index++; |
| vector[index] = ny; |
| index++; |
| lstPointX = nx; |
| lstPointY = ny; |
| distanceSoFar = 0; |
| } else { |
| lstPointX = currentPointX; |
| lstPointY = currentPointY; |
| currentPointX = Float.MIN_VALUE; |
| currentPointY = Float.MIN_VALUE; |
| distanceSoFar += distance; |
| } |
| } |
| |
| for (i = index; i < vectorLength; i += 2) { |
| vector[i] = lstPointX; |
| vector[i + 1] = lstPointY; |
| } |
| return vector; |
| } |
| |
| /** |
| * Calculate the centroid |
| * |
| * @param points |
| * @return the centroid |
| */ |
| static float[] computeCentroid(float[] points) { |
| float centerX = 0; |
| float centerY = 0; |
| int count = points.length; |
| for (int i = 0; i < count; i++) { |
| centerX += points[i]; |
| i++; |
| centerY += points[i]; |
| } |
| float[] center = new float[2]; |
| center[0] = 2 * centerX / count; |
| center[1] = 2 * centerY / count; |
| |
| return center; |
| } |
| |
| /** |
| * calculate the variance-covariance matrix, treat each point as a sample |
| * |
| * @param points |
| * @return the covariance matrix |
| */ |
| private static double[][] computeCoVariance(float[] points) { |
| double[][] array = new double[2][2]; |
| array[0][0] = 0; |
| array[0][1] = 0; |
| array[1][0] = 0; |
| array[1][1] = 0; |
| int count = points.length; |
| for (int i = 0; i < count; i++) { |
| float x = points[i]; |
| i++; |
| float y = points[i]; |
| array[0][0] += x * x; |
| array[0][1] += x * y; |
| array[1][0] = array[0][1]; |
| array[1][1] += y * y; |
| } |
| array[0][0] /= (count / 2); |
| array[0][1] /= (count / 2); |
| array[1][0] /= (count / 2); |
| array[1][1] /= (count / 2); |
| |
| return array; |
| } |
| |
| static float computeTotalLength(float[] points) { |
| float sum = 0; |
| int count = points.length - 4; |
| for (int i = 0; i < count; i += 2) { |
| float dx = points[i + 2] - points[i]; |
| float dy = points[i + 3] - points[i + 1]; |
| sum += Math.sqrt(dx * dx + dy * dy); |
| } |
| return sum; |
| } |
| |
| static double computeStraightness(float[] points) { |
| float totalLen = computeTotalLength(points); |
| float dx = points[2] - points[0]; |
| float dy = points[3] - points[1]; |
| return Math.sqrt(dx * dx + dy * dy) / totalLen; |
| } |
| |
| static double computeStraightness(float[] points, float totalLen) { |
| float dx = points[2] - points[0]; |
| float dy = points[3] - points[1]; |
| return Math.sqrt(dx * dx + dy * dy) / totalLen; |
| } |
| |
| /** |
| * Calculate the squared Euclidean distance between two vectors |
| * |
| * @param vector1 |
| * @param vector2 |
| * @return the distance |
| */ |
| static double squaredEuclideanDistance(float[] vector1, float[] vector2) { |
| double squaredDistance = 0; |
| int size = vector1.length; |
| for (int i = 0; i < size; i++) { |
| float difference = vector1[i] - vector2[i]; |
| squaredDistance += difference * difference; |
| } |
| return squaredDistance / size; |
| } |
| |
| /** |
| * Calculate the cosine distance between two instances |
| * |
| * @param vector1 |
| * @param vector2 |
| * @return the distance between 0 and Math.PI |
| */ |
| static double cosineDistance(float[] vector1, float[] vector2) { |
| float sum = 0; |
| int len = vector1.length; |
| for (int i = 0; i < len; i++) { |
| sum += vector1[i] * vector2[i]; |
| } |
| return Math.acos(sum); |
| } |
| |
| static OrientedBoundingBox computeOrientedBoundingBox(ArrayList<GesturePoint> pts) { |
| GestureStroke stroke = new GestureStroke(pts); |
| float[] points = temporalSampling(stroke, TEMPORAL_SAMPLING_RATE); |
| return computeOrientedBoundingBox(points); |
| } |
| |
| static OrientedBoundingBox computeOrientedBoundingBox(float[] points) { |
| float[] meanVector = computeCentroid(points); |
| return computeOrientedBoundingBox(points, meanVector); |
| } |
| |
| static OrientedBoundingBox computeOrientedBoundingBox(float[] points, float[] centroid) { |
| translate(points, -centroid[0], -centroid[1]); |
| |
| double[][] array = computeCoVariance(points); |
| double[] targetVector = computeOrientation(array); |
| |
| float angle; |
| if (targetVector[0] == 0 && targetVector[1] == 0) { |
| angle = (float) -Math.PI/2; |
| } else { // -PI<alpha<PI |
| angle = (float) Math.atan2(targetVector[1], targetVector[0]); |
| rotate(points, -angle); |
| } |
| |
| float minx = Float.MAX_VALUE; |
| float miny = Float.MAX_VALUE; |
| float maxx = Float.MIN_VALUE; |
| float maxy = Float.MIN_VALUE; |
| int count = points.length; |
| for (int i = 0; i < count; i++) { |
| if (points[i] < minx) { |
| minx = points[i]; |
| } |
| if (points[i] > maxx) { |
| maxx = points[i]; |
| } |
| i++; |
| if (points[i] < miny) { |
| miny = points[i]; |
| } |
| if (points[i] > maxy) { |
| maxy = points[i]; |
| } |
| } |
| |
| return new OrientedBoundingBox((float) (angle * 180 / Math.PI), centroid[0], centroid[1], maxx - minx, maxy - miny); |
| } |
| |
| private static double[] computeOrientation(double[][] covarianceMatrix) { |
| double[] targetVector = new double[2]; |
| if (covarianceMatrix[0][1] == 0 || covarianceMatrix[1][0] == 0) { |
| targetVector[0] = 1; |
| targetVector[1] = 0; |
| } |
| |
| double a = -covarianceMatrix[0][0] - covarianceMatrix[1][1]; |
| double b = covarianceMatrix[0][0] * covarianceMatrix[1][1] - covarianceMatrix[0][1] |
| * covarianceMatrix[1][0]; |
| double value = a / 2; |
| double rightside = Math.sqrt(Math.pow(value, 2) - b); |
| double lambda1 = -value + rightside; |
| double lambda2 = -value - rightside; |
| if (lambda1 == lambda2) { |
| targetVector[0] = 0; |
| targetVector[1] = 0; |
| } else { |
| double lambda = lambda1 > lambda2 ? lambda1 : lambda2; |
| targetVector[0] = 1; |
| targetVector[1] = (lambda - covarianceMatrix[0][0]) / covarianceMatrix[0][1]; |
| } |
| return targetVector; |
| } |
| |
| |
| static float[] rotate(float[] points, double angle) { |
| double cos = Math.cos(angle); |
| double sin = Math.sin(angle); |
| int size = points.length; |
| for (int i = 0; i < size; i += 2) { |
| float x = (float) (points[i] * cos - points[i + 1] * sin); |
| float y = (float) (points[i] * sin + points[i + 1] * cos); |
| points[i] = x; |
| points[i + 1] = y; |
| } |
| return points; |
| } |
| |
| static float[] translate(float[] points, float dx, float dy) { |
| int size = points.length; |
| for (int i = 0; i < size; i += 2) { |
| points[i] += dx; |
| points[i + 1] += dy; |
| } |
| return points; |
| } |
| |
| static float[] scale(float[] points, float sx, float sy) { |
| int size = points.length; |
| for (int i = 0; i < size; i += 2) { |
| points[i] *= sx; |
| points[i + 1] *= sy; |
| } |
| return points; |
| } |
| } |