开源视线跟踪软件 ITU GazeTracker.v2.0b-64bit.zip

<?xml version="1.0"?> <doc> <assembly> <name>Emgu.CV</name> </assembly> <members> <member name="T:Emgu.CV.AdaptiveSkinDetector"> <summary> Adaptive Skin Detector </summary> </member> <member name="M:Emgu.CV.AdaptiveSkinDetector.#ctor(System.Int32,Emgu.CV.AdaptiveSkinDetector.MorphingMethod)"> <summary> Create an Adaptive Skin Detector </summary> <param name="samplingDivider">Use 1 for default</param> <param name="morphingMethod">The morphine method for the skin detector</param> </member> <member name="M:Emgu.CV.AdaptiveSkinDetector.Process(Emgu.CV.Image{Emgu.CV.Structure.Bgr,System.Byte},Emgu.CV.Image{Emgu.CV.Structure.Gray,System.Byte})"> <summary> Process the image to produce a hue mask </summary> <param name="image">The input image</param> <param name="hueMask">The resulting mask</param> </member> <member name="M:Emgu.CV.AdaptiveSkinDetector.DisposeObject"> <summary> Release the unmanaged memory associated with this detector </summary> </member> <member name="T:Emgu.CV.AdaptiveSkinDetector.MorphingMethod"> <summary> Morphing method </summary> </member> <member name="F:Emgu.CV.AdaptiveSkinDetector.MorphingMethod.NONE"> <summary> None </summary> </member> <member name="F:Emgu.CV.AdaptiveSkinDetector.MorphingMethod.ERODE"> <summary> Erode </summary> </member> <member name="F:Emgu.CV.AdaptiveSkinDetector.MorphingMethod.ERODE_ERODE"> <summary> Double Erode </summary> </member> <member name="F:Emgu.CV.AdaptiveSkinDetector.MorphingMethod.ERODE_DILATE"> <summary> Erode dilate </summary> </member> <member name="T:Emgu.CV.CameraCalibration"> <summary> Camera calibration functions </summary> </member> <member name="M:Emgu.CV.CameraCalibration.CalibrateCamera(Emgu.CV.Structure.MCvPoint3D32f[][],System.Drawing.PointF[][],System.Drawing.Size,Emgu.CV.IntrinsicCameraParameters,Emgu.CV.CvEnum.CALIB_TYPE,Emgu.CV.ExtrinsicCameraParameters[]@)"> <summary> Estimates intrinsic camera parameters and extrinsic parameters for each of the views </summary> <param name="objectPoints">The 3D location of the object points. The first index is the index of image, second index is the index of the point</param> <param name="imagePoints">The 2D image location of the points. The first index is the index of the image, second index is the index of the point</param> <param name="imageSize">The size of the image, used only to initialize intrinsic camera matrix</param> <param name="intrinsicParam">The intrisinc parameters, might contains some initial values. The values will be modified by this function.</param> <param name="flags">Flags</param> <param name="extrinsicParams">The output array of extrinsic parameters.</param> </member> <member name="M:Emgu.CV.CameraCalibration.StereoCalibrate(Emgu.CV.Structure.MCvPoint3D32f[][],System.Drawing.PointF[][],System.Drawing.PointF[][],Emgu.CV.IntrinsicCameraParameters,Emgu.CV.IntrinsicCameraParameters,System.Drawing.Size,Emgu.CV.CvEnum.CALIB_TYPE,Emgu.CV.Structure.MCvTermCriteria,Emgu.CV.ExtrinsicCameraParameters@,Emgu.CV.Matrix{System.Double}@,Emgu.CV.Matrix{System.Double}@)"> <summary> Estimates transformation between the 2 cameras making a stereo pair. If we have a stereo camera, where the relative position and orientatation of the 2 cameras is fixed, and if we computed poses of an object relative to the fist camera and to the second camera, (R1, T1) and (R2, T2), respectively (that can be done with cvFindExtrinsicCameraParams2), obviously, those poses will relate to each other, i.e. given (R1, T1) it should be possible to compute (R2, T2) - we only need to know the position and orientation of the 2nd camera relative to the 1st camera. That's what the described function does. It computes (R, T) such that: R2=R*R1, T2=R*T1 + T </summary> <param name="objectPoints">The 3D location of the object points. The first index is the index of image, second index is the index of the point</param> <param name="imagePoints1">The 2D image location of the points for camera 1. The first index is the index of the image, second index is the index of the point</param> <param name="imagePoints2">The 2D image location of the points for camera 2. The first index is the index of the image, second index is the index of the point</param> <param name="intrinsicParam1">The intrisinc parameters for camera 1, might contains some initial values. The values will be modified by this function.</param> <param name="intrinsicParam2">The intrisinc parameters for camera 2, might contains some initial values. The values will be modified by this function.</param> <param name="imageSize">Size of the image, used only to initialize intrinsic camera matrix</param> <param name="flags">Different flags</param> <param name="extrinsicParams">The extrinsic parameters which contains: R - The rotation matrix between the 1st and the 2nd cameras' coordinate systems; T - The translation vector between the cameras' coordinate systems. </param> <param name="essentialMatrix">essential matrix</param> <param name="termCrit"> Termination criteria for the iterative optimiziation algorithm </param> <param name="foundamentalMatrix">fundamental matrix</param> </member> <member name="M:Emgu.CV.CameraCalibration.FindExtrinsicCameraParams2(Emgu.CV.Structure.MCvPoint3D32f[],System.Drawing.PointF[],Emgu.CV.IntrinsicCameraParameters)"> <summary> Estimates extrinsic camera parameters using known intrinsic parameters and and extrinsic parameters for each view. The coordinates of 3D object points and their correspondent 2D projections must be specified. This function also minimizes back-projection error. </summary> <param name="objectPoints">The array of object points</param> <param name="imagePoints">The array of corresponding image points</param> <param name="intrin">The intrinsic parameters</param> <returns>The extrinsic parameters</returns> </member> <member name="M:Emgu.CV.CameraCalibration.ProjectPoints(Emgu.CV.Structure.MCvPoint3D32f[],Emgu.CV.ExtrinsicCameraParameters,Emgu.CV.IntrinsicCameraParameters,Emgu.CV.Matrix{System.Single}[])"> <summary> Computes projections of 3D points to the image plane given intrinsic and extrinsic camera parameters. Optionally, the function computes jacobians - matrices of partial derivatives of image points as functions of all the input parameters w.r.t. the particular parameters, intrinsic and/or extrinsic. The jacobians are used during the global optimization in cvCalibrateCamera2 and cvFindExtrinsicCameraParams2. The function itself is also used to compute back-projection error for with current intrinsic and extrinsic parameters. </summary> <remarks>Note, that with intrinsic and/or extrinsic parameters set to special values, the function can be used to compute just extrinsic transformation or just intrinsic transformation (i.e. distortion of a spar