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;***************************************************************** ;* ;* - Description: JTAGICE (mkI) interface definition file for ;* RC Calibration ;* ;* - File: jtag_

% calibrate_resolution.m msg='Do these video images contain 3-4-5 calibration marks?'; calibrate=questdlg(msg,'Calibrate','Yes','No','No'); switch calibrate case 'No' load pixres %u

% By Philip Torr 2002 % copyright Microsoft Corp. %this function allows for self calibration function f = torr_self_calib_f(x1,y1,x2,y2, no_matches,m3)

# Bayes++ Jamfile - See Boost.build # Quadratic Calibration - filter example # Declare the location of this subproject relative to the project root. subproject "QuadCalib" ; # The executable for th

# Bayes++ Jamfile - See Boost.build v2 # Quadratic Calibration - filter example project : : default-build release ; exe quadcalib : "QuadCalib.cpp" ../BayesFilter//BayesFilter ;

;******************************************************************************* ; MSP430F20xx Demo - DCO Calibration Constants Programmer ; ; NOTE: THIS CODE REPLACES THE TI FACTORY-PROGRAMMED

%CAMCALT Camera calibration using Tsai's two-stage method. % % This method works when the calibration target comprises coplanar points. % % [Tcam, f, k1]] = CAMCALT(D, PAR) % % Compute a 3x4 camera ca

% CAMCALD4 Compute partial camera calibration from four coplanar data points % % C = CAMCALD4(D) % % Solve the camera calibration using a least squares technique. Input is a table % of data points,

%CAMCALP Camera calibration matrix from parameters % % C = CAMCALP(cp) % C = CAMCALP(cp, Tcam) % C = CAMCALP(cp, pC, x, z) % % Compute a 3x4 camera calibration matrix from given camera intrinsic % and

% CAMCALD Compute camera calibration from data points % % C = CAMCALD(D) % [C, E] = CAMCALD(D) % % Solve the camera calibration using a least squares technique. Input is % a table of data points, D