Пример #1
0
def calibrate(target_type,
              optimization_type,
              calibration_data,
              camera_params,
              origin_offset=(0.0, 0.0, 0.0)):
    """
        Calibrates a camera.

        @param target_type: The type of the target used for calibration.  This
                can be either:
                        - 'coplanar', in which all z-values for the calibration
                          points are zero.
                        - 'noncoplanar', in which some z-values for the
                          calibration points must be non-zero.

        @param optimization_type: The type of optimization to perform.  This
                can be either:
                        - 'three-param', for optimization of only M{f}, 
                          M{Tz} and M{kappa1}.
                        - 'full', for full optimization.
                          
        @param calibration_data: A sequence of sequences containing
                calibration points.  The sequence should consist of::
                        [
                                [ xs1, ys1, zs1, xi1, yi1 ],
                                [ xs2, ys2, zs2, xi2, yi2 ],
                                  ...  ...  ...  ...  ...
                                [ xsN, ysN, zsN, xiN, yiN ]
                        ]
                where:
                        - M{(xs, ys, zs)} are 3D space coordinates of the
                          calibration points.
                        - M{(xi, yi)} are corresponding 2D image space 
                          coordinates of the calibration points.
        @param camera_params: A dictionary mapping camera parameter names
                (stored as strings) to their values (which should be
                numbers).  The class L{CameraParameters} is a utility class
                designed to be used in this position.

        @param origin_offset: An artificial offset that is added to the origin
                of the calibration data coordinates.  This offset is later
                removed from the camera position as determined by the
                calibration. Shifting the origin may be useful since the
                Tsai method fails if the world space origin is near to the
                camera space origin or the camera space y axis.
        """

    # add an origin offset to the camera position
    #xo,yo,zo = origin_offset
    xo, yo, zo = 0.0, 0.0, 0.0

    def addOfs(c):
        return (c[0] + xo, c[1] + yo, c[2] + zo, c[3], c[4])

    ofsCalData = list(map(addOfs, calibration_data))

    # perform camera calibration
    if target_type == 'coplanar' and optimization_type == 'three-param':
        try:
            cp = pytsai._pytsai_coplanar_calibration(ofsCalData, camera_params)
        except RuntimeError as runtimeError:
            raise CalibrationError(str(runtimeError))

    elif target_type == 'noncoplanar' and \
         optimization_type == 'three-param':
        try:
            cp = pytsai._pytsai_noncoplanar_calibration(
                ofsCalData, camera_params)
        except RuntimeError as runtimeError:
            raise CalibrationError(str(runtimeError))

    elif target_type == 'coplanar' and optimization_type == 'full':
        try:
            cp = pytsai._pytsai_coplanar_calibration_fo(
                ofsCalData, camera_params)
        except RuntimeError as runtimeError:
            raise CalibrationError(str(runtimeError))

    elif target_type == 'noncoplanar' and optimization_type == 'full':
        try:
            cp = pytsai._pytsai_noncoplanar_calibration_fo(
                ofsCalData, camera_params)
        except RuntimeError as runtimeError:
            raise CalibrationError(str(runtimeError))

    else:
        errstr = 'Unknown combination of target_type=\'%s\' and ' \
                 'optimization_type=\'%s\'' % \
                 (target_type, optimization_type)
        raise CalibrationError(errstr)

    # remove the origin offset from the camera position
    ccp = CameraParameters(cp)
    #camorigin = ccp.world2camera((xo,yo,zo))
    #ccp.Tx -= camorigin[0]
    #ccp.Ty -= camorigin[1]
    #ccp.Tz -= camorigin[2]

    # return the calculated camera parameters
    return ccp
Пример #2
0
                try:
                        cp = pytsai._pytsai_noncoplanar_calibration(
                                ofsCalData, camera_params)
                except RuntimeError, (runtimeError):
                        raise CalibrationError(str(runtimeError))

        elif target_type == 'coplanar' and optimization_type == 'full':
                try:
                        cp = pytsai._pytsai_coplanar_calibration_fo(
                                ofsCalData, camera_params)
                except RuntimeError, (runtimeError):
                        raise CalibrationError(str(runtimeError))

        elif target_type == 'noncoplanar' and optimization_type == 'full':
                try:
                        cp = pytsai._pytsai_noncoplanar_calibration_fo(
                                ofsCalData, camera_params)
                except RuntimeError, (runtimeError):
                        raise CalibrationError(str(runtimeError))

        else:
                errstr = 'Unknown combination of target_type=\'%s\' and ' \
                         'optimization_type=\'%s\'' % \
                         (target_type, optimization_type)
                raise CalibrationError(errstr)

        # remove the origin offset from the camera position
        ccp = CameraParameters(cp)
        #camorigin = ccp.world2camera((xo,yo,zo))
        #ccp.Tx -= camorigin[0]
        #ccp.Ty -= camorigin[1]
        #ccp.Tz -= camorigin[2]
Пример #3
0
def calibrate(target_type, optimization_type, calibration_data, camera_params,
        origin_offset=(0.0,0.0,0.0)):
        """
        Calibrates a camera.

        @param target_type: The type of the target used for calibration.  This
                can be either:
                        - 'coplanar', in which all z-values for the calibration
                          points are zero.
                        - 'noncoplanar', in which some z-values for the
                          calibration points must be non-zero.

        @param optimization_type: The type of optimization to perform.  This
                can be either:
                        - 'three-param', for optimization of only M{f}, 
                          M{Tz} and M{kappa1}.
                        - 'full', for full optimization.
                          
        @param calibration_data: A sequence of sequences containing
                calibration points.  The sequence should consist of::
                        [
                                [ xs1, ys1, zs1, xi1, yi1 ],
                                [ xs2, ys2, zs2, xi2, yi2 ],
                                  ...  ...  ...  ...  ...
                                [ xsN, ysN, zsN, xiN, yiN ]
                        ]
                where:
                        - M{(xs, ys, zs)} are 3D space coordinates of the
                          calibration points.
                        - M{(xi, yi)} are corresponding 2D image space 
                          coordinates of the calibration points.
        @param camera_params: A dictionary mapping camera parameter names
                (stored as strings) to their values (which should be
                numbers).  The class L{CameraParameters} is a utility class
                designed to be used in this position.

        @param origin_offset: An artificial offset that is added to the origin
                of the calibration data coordinates.  This offset is later
                removed from the camera position as determined by the
                calibration. Shifting the origin may be useful since the
                Tsai method fails if the world space origin is near to the
                camera space origin or the camera space y axis.
        """

        # add an origin offset to the camera position
        #xo,yo,zo = origin_offset
        xo,yo,zo = 0.0,0.0,0.0
        def addOfs(c):
                return (c[0]+xo, c[1]+yo, c[2]+zo, c[3], c[4])
        ofsCalData = list(map(addOfs, calibration_data))

        # perform camera calibration
        if target_type == 'coplanar' and optimization_type == 'three-param':
                try:
                        cp = pytsai._pytsai_coplanar_calibration(
                                ofsCalData, camera_params)
                except RuntimeError as runtimeError:
                        raise CalibrationError(str(runtimeError))
                        
        elif target_type == 'noncoplanar' and \
             optimization_type == 'three-param':
                try:
                        cp = pytsai._pytsai_noncoplanar_calibration(
                                ofsCalData, camera_params)
                except RuntimeError as runtimeError:
                        raise CalibrationError(str(runtimeError))

        elif target_type == 'coplanar' and optimization_type == 'full':
                try:
                        cp = pytsai._pytsai_coplanar_calibration_fo(
                                ofsCalData, camera_params)
                except RuntimeError as runtimeError:
                        raise CalibrationError(str(runtimeError))

        elif target_type == 'noncoplanar' and optimization_type == 'full':
                try:
                        cp = pytsai._pytsai_noncoplanar_calibration_fo(
                                ofsCalData, camera_params)
                except RuntimeError as runtimeError:
                        raise CalibrationError(str(runtimeError))

        else:
                errstr = 'Unknown combination of target_type=\'%s\' and ' \
                         'optimization_type=\'%s\'' % \
                         (target_type, optimization_type)
                raise CalibrationError(errstr)

        # remove the origin offset from the camera position
        ccp = CameraParameters(cp)
        #camorigin = ccp.world2camera((xo,yo,zo))
        #ccp.Tx -= camorigin[0]
        #ccp.Ty -= camorigin[1]
        #ccp.Tz -= camorigin[2]

        # return the calculated camera parameters
        return ccp