METHOD FOR ESTIMATING DEPTH VALUE OF A TWO DIMENSIONAL IMAGE

THE PRESENT INVENTION RELATES TOA METHOD FOR ESTIMATING DEPTH VALUE OF A TWO DIMENSIONAL IMAGE CHARACTERIZED BY: FIRST, PLACING AN OBJECT ON A ROTATABLE PLATE AT A PREDETERMINED DISTANCE FROM AN IMAGE CAPTURE; THEN, ACQUIRING A FIRST IMAGE OF THE OBJECT AND CALCULATING SCALE FACTOR; THEN, ROTATING THE ROTATABLE PLATE TO ROTATE THE OBJECT TO A PREDETERMINED ANGLE; THEN, ACQUIRING A SECOND IMAGE OF THE OBJECT; THEN, OBTAINING FEATURE POINT COORDINATES BY APPLYING GOOD FEATURES TO TRACK TECHNIQUE; THEN, COLLECTING THE COORDINATES VALUE IN THE FORM OF (xv1, i, yv1,i) AND (xv2,i, yv2,i); THEN, FIRST FILTERING FEATURE POINT COORDINATES WHICH ARE OUTSIDE THE CONTROLLED ENVIRONMENT; THEN, APPLYING LUCAS-KANADE OPTICAL FLOW TECHNIQUE TO THE COORDINATES VALUE OBTAINED FROM THE GOOD FEATURE TO TRACK TECHNIQUE TO FIND MATCHING FEATURE POINT COORDINATES FROM THE FIRST IMAGE AND SECOND IMAGE; THEN, CALCULATING MAGNITUDE OPTICAL VECTOR FOR EACH OF THE FEATURE POINT COORDINATES; THEN, CALCULATING WORLD COORDINATE FOR EACH OF THE FEATURE POINT COORDINATES; THEN, CALCULATING WORLD MAGNITUDE OPTICAL VECTOR FOR EACH OF THE FEATURE POINT COORDINATES; THEN, ESTIMATING DEPTH VALUE OF THE ACQUIRED IMAGE BY CALCULATING EACH FEATURE POINT COORDINATES; THEN, SECOND FILTERING FEATURE POINT COORDINATES TO ELIMINATE NOISE.