Combining　the　active　digitizing　technique　with　the　passive　stereo　vision,　a　novel　method　is　proposed　to　acquire　the　3D　data　from　two　2D　images.　Based　on　the　principle　of　stereo　vision,　and　assisting　the　active　dense　structure　light　projecting,　the　system　overcomes　the　problem　of　data　points　matching　between　two　stereo　images,　which　is　the　most　important　difficulty　occurring　in　stereo　vision.　An　algorithm　based　on　wavelet　transform　is　proposed　here　to　auto-get　the　threshold　for　image　segment　and　extract　the　grid　points.　The　system　described　here　is　mainly　applied　to　digitize　the　3D　objects　in　time.　Comparing　with　the　general　digitizers,　it　performs　the　translation　from　2D　images　to　3D　data　completely,　and　gets　over　some　shortcomings,　such　as　slow　image　acquiring　and　data　processing　speed,　depending　on　mechanical　moving,　painting　on　the　object　before　digitizing,　and　so　on.　The　system　is　the　same　with　the　non-contact　and　fast　measurement　and　modeling　for　the　3D　object　with　freedom　surface,　and　can　be　employed　widely　in　the　fields　of　Reverse　Engineering　and　CAD/CAM.　Experiment　proves　the　efficiency　of　the　new　use　of　shape　from　stereo　vision　(SFSV)　in　engineering.