For　Line-Laser　sensor　products　that　CCD　images　are　unknown,　we　present　a　method　for　the　calibration　of　Line-Laser　sensor　measurement　system　using　multi-directional　and　non-featured　planes,　and　a　method　for　system　calibration　optimization　using　multi-angle　standard　spheres.　By　building　a　mathematical　model,　we　convert　the　line　laser　sensor　measurement　data　into　CMM　measurement　points.　According　to　the　constraint　relationships　of　planes　or　spheres,　the　point　measured　by　the　Line-Laser　sensor　and　the　CMM　should　conform　to　the　same　equation,　then　we　can　solve　the　calibration　matrix　of　the　line　laser　sensor　and　the　coordinate　measuring　machine　by　nonlinear　optimization　Both　simulation　analyses　and　real　experiments　were　conducted.　A　line　laser　sensor　was　used　to　measure　a　frosted　standard　ball　with　a　radius　of　12.696　mm.　The　radius　deviation　measured　by　the　line　laser　sensor　system　and　the　center　deviation　of　the　sphere　comparing　with　the　CMM　were　observed.　The　experimental　results　show　that　the　radius　deviation　of　the　calibration　laser　sensor　measurement　system　is　less　than　0.02mm,　and　the　center　distance　deviation　of　the　sphere　is　less　than　0.02mm.　This　method　utilizing　non-featured　planes　simplifies　the　calibration　equipment　and　can　reduce　the　fitting　error　when　using　standard　ball　from　multiple　angles　for　calibration.　This　method　is　different　from　the　method　of　calibrating　the　single　direction　of　the　laser　sensor.　It　can　simultaneously　calibrate　the　rotation　matrix　and　translation　matrix　of　the　two-dimensional　line　laser　sensor　to　the　coordinate　measuring　machine,　and　optimize　the　global　optimal　calibration　parameters.