示例#1
0
        public Vector2 Predict(PoseAndEyeAndFace data)
        {
            var camera                  = new CoordinateSystem();
            var displayNormRealign      = UnitVector3D.YAxis;
            var displayXPositiveRealign = UnitVector3D.XAxis;

            var refHeadPositionRaw   = Point3D.Centroid(Samples.Select(r => r.HeadPose.Position).Select(r => r.ToMathNetPoint3D()));
            var refHeadPosition      = ConvertPointFromOpenFaceSpaceToMathNetSpace(refHeadPositionRaw);
            var refHeadRotationRaw   = Point3D.Centroid(Samples.Select(r => r.HeadPose.Angle).Select(r => r.ToMathNetPoint3D()));
            var refHeadRotation      = ConvertAngelFromOpenFaceSpaceToMathNetSpace(refHeadRotationRaw);
            var refHeadRotationCoord = camera
                                       .RotateCoordSysAroundVector(UnitVector3D.XAxis, Angle.FromRadians(refHeadRotation.X))
                                       .RotateCoordSysAroundVector(UnitVector3D.ZAxis, Angle.FromRadians(refHeadRotation.Z))
                                       .RotateCoordSysAroundVector(UnitVector3D.YAxis, Angle.FromRadians(refHeadRotation.Y));
            var refHeadRotationAlign   = CoordinateSystem.CreateMappingCoordinateSystem(camera, refHeadRotationCoord);
            var refHeadRotationUnalign = CoordinateSystem.CreateMappingCoordinateSystem(refHeadRotationCoord, camera);

            var displayWidth  = HeadDisplayDistance * Tan(FieldOfViewWidthSingleSideAngle) * 2;
            var displayHeight = displayWidth / DisplayAspectRatio;
            var displaySize   = new Vector2D(displayWidth, displayHeight);

            var refDisplayNorm      = displayNormRealign.TransformBy(refHeadRotationUnalign).Normalize();
            var refDisplayXPositive = displayXPositiveRealign.TransformBy(refHeadRotationUnalign).Normalize();
            var refDisplayCentroid  = refHeadPosition + HeadDisplayDistance * refDisplayNorm;
            var refDisplayPlane     = new MathNet.Spatial.Euclidean.Plane(refDisplayCentroid, refDisplayNorm);

            var headPosition      = ConvertPointFromOpenFaceSpaceToMathNetSpace(data.Pose.Position.ToMathNetPoint3D());
            var headRotation      = ConvertAngelFromOpenFaceSpaceToMathNetSpace(data.Pose.Angle.ToMathNetPoint3D());
            var headRotationCoord = camera
                                    .RotateCoordSysAroundVector(UnitVector3D.XAxis, Angle.FromRadians(headRotation.X))
                                    .RotateCoordSysAroundVector(UnitVector3D.ZAxis, Angle.FromRadians(headRotation.Z))
                                    .RotateCoordSysAroundVector(UnitVector3D.YAxis, Angle.FromRadians(headRotation.Y));
            var headRotationAlign   = CoordinateSystem.CreateMappingCoordinateSystem(camera, headRotationCoord);
            var headRotationUnalign = CoordinateSystem.CreateMappingCoordinateSystem(headRotationCoord, camera);

            var displayNorm      = displayNormRealign.TransformBy(headRotationUnalign).Normalize();
            var displayXPositive = displayXPositiveRealign.TransformBy(headRotationUnalign).Normalize();
            var displayCentroid  = headPosition + HeadDisplayDistance * displayNorm;
            var displayPlane     = new MathNet.Spatial.Euclidean.Plane(displayCentroid, displayNorm);

            var calibPoints            = Samples.Select(r => CalibPointOnDisplay(displayCentroid, displayNorm, displayXPositive, displaySize, r.Display.ToMathNetPoint2D())).ToArray();
            var calibRays              = calibPoints.Select(p => new Ray3D(headPosition, p - headPosition)).ToArray();
            var transformedCalibPoints = calibRays.Select(r => (Point3D)r.IntersectionWith(refDisplayPlane)).ToArray();
            var transformedRelatives   = transformedCalibPoints.Select(p => RelativeToDisplay(refDisplayCentroid, refDisplayNorm, refDisplayXPositive, displaySize, p)).ToArray();

            var pupilDistances = Samples.Select(r => PupilCornerDistance(r.Gaze, r.HeadPose)).ToArray();
            var inputX         = pupilDistances.Select(d => d.X).ToArray();
            var outputX        = transformedRelatives.Select(p => p.X).ToArray();
            var polynomialX    = Polynomial.Fit(inputX, outputX, Order);
            var inputY         = pupilDistances.Select(d => d.Y).ToArray();
            var outputY        = transformedRelatives.Select(p => p.Y).ToArray();
            var polynomialY    = Polynomial.Fit(inputY, outputY, Order);

            var distance = PupilCornerDistance(data.Eye, data.Pose);
            var x        = polynomialX.Evaluate(distance.X);
            var y        = polynomialY.Evaluate(distance.Y);

            return(new Vector2((float)x, (float)y));
        }
示例#2
0
        private void MakeMathPlane()
        {
            UnitVector3D normal = new UnitVector3D(
                Math.Sin(this.Angle * Math.PI / 180) * Math.Sin(this.Dip * Math.PI / 180),
                Math.Sin(this.Angle * Math.PI / 180) * Math.Cos(this.Dip * Math.PI / 180),
                Math.Cos(this.Angle * Math.PI / 180));
            Point3D rootPoint = new Point3D(RootPoint.X, RootPoint.Y, RootPoint.Z);

            this.mathPlane = new MathNet.Spatial.Euclidean.Plane(rootPoint, normal);
        }
        /// <summary>
        /// 生成曲面
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void buttonXBuild_Click(object sender, EventArgs e)
        {
            double attitudeL = this.doubleInputAttitudeLength.Value;
            double shapeR    = this.doubleInputShapeRadium.Value;

            // 生成产状数据集
            double       nx = 0.0, ny = 0.0, nz = 0.0;
            List <Point> sourceAttitudePoints = new List <Point>(this.targetMarkersList.Count * 4);

            foreach (var marker in this.targetMarkersList)
            {
                nx += Math.Sin(marker.MyDip * Math.PI / 180) * Math.Sin(marker.MyAngle * Math.PI / 180)
                      / this.targetMarkersList.Count;
                ny += Math.Cos(marker.MyDip * Math.PI / 180) * Math.Sin(marker.MyAngle * Math.PI / 180)
                      / this.targetMarkersList.Count;
                nz += Math.Cos(marker.MyAngle * Math.PI / 180) / this.targetMarkersList.Count;


                double dx         = -Math.Tan(marker.MyAngle * Math.PI / 180) * Math.Cos(marker.MyDip * Math.PI / 180);
                double dy         = -Math.Tan(marker.MyAngle * Math.PI / 180) * Math.Sin(marker.MyDip * Math.PI / 180);
                Point  northPoint = new Point(
                    marker.X,
                    marker.Y + attitudeL,
                    marker.Z + dy * attitudeL);
                Point southPoint = new Point(
                    marker.X,
                    marker.Y - attitudeL,
                    marker.Z - dy * attitudeL);
                Point eastPoint = new Point(
                    marker.X + attitudeL,
                    marker.Y,
                    marker.Z + dx * attitudeL);
                Point westPoint = new Point(
                    marker.X - attitudeL,
                    marker.Y,
                    marker.Z - dx * attitudeL);

                sourceAttitudePoints.AddRange(new[] { northPoint, southPoint, eastPoint, westPoint });
            }

            Point middlePoint = CurveAlgorithm.MiddlePointOfPoints(this.targetMarkersList);

            // 平均产状平面
            Vector3D n     = new Vector3D(nx, ny, nz);
            var      plane = new MathNet.Spatial.Euclidean.Plane(
                new Point3D(middlePoint.X, middlePoint.Y, middlePoint.Z),
                n.Normalize());

            double a0 = -plane.D / plane.C;
            double a1 = -plane.A / plane.C;
            double a2 = -plane.B / plane.C;

            // 插值点数据集
            List <Point> sourcePoints = new List <Point>(this.targetMarkersList);

            sourcePoints.AddRange(sourceAttitudePoints);

            SurfaceEquation surfaceEquation = new SurfaceEquation(a0, a1, a2, sourcePoints, shapeR);

            // 确定曲面区域
            List <Point> edgePoints = CurveAlgorithm.GetEdgePoints(sourcePoints, this.GridEdgeLength);

            // 区域内插加密点 GeoHelper.InsertPointsInPolygon
            List <Point> pointsList = GeoHelper.InsertPointsInPolygon(edgePoints, this.GridEdgeLength);

            // 生成网格 Triangulations
            Triangulations tris = new Triangulations(pointsList, new List <Point>());

            // 计算插值 SurfaceMesh
            tris.MeshSurface(surfaceEquation);

            // 绘制曲面
            IColor66 fillColor = this.sgworld.Creator.CreateColor(128, 128, 128, 128);
            IColor66 lineColor = this.sgworld.Creator.CreateColor(255, 255, 255, 0);

            var parentGid = GeoHelper.CreateGroup("产状地质曲面", ref this.sgworld);



            Facet facet = new Facet(ref this.sgworld, tris.TsData, "Test", parentGid, lineColor, fillColor);

            // facet.DrawFacet();

            // 保存三角网结果
            TsFile ts = new TsFile(
                tris.TsData,
                "TSurf",
                "M",
                "JGM",
                "Name",
                new List <string>());

            ts.WriteTsFile();
            ts.UpdateTsFile(ref this.db);

            ToastNotification.Show(this, "曲面模型已保存为模型部件", 2500, eToastPosition.MiddleCenter);
        }