This　paper　presents　a　novel　method　for　pixel-wise　correspondence　between　3D　face　images.　The　method　is　based　on　uniform　gridded-resampling　of　different　3D　faces　and　advances　a　particular　even-partition　procedure　including　uniform　face　segmentation　and　iso-curves　initialization　for　correspondence.　Pixel-wise　correspondence　between　3D　face　images　is　the　basis　of　a　3D　face　model,　which　is　capable　of　analyzing　novel　face　images.　Pixel-wise　correspondence　(which　can　also　be　called　point-to-point　correspondence)　between　3D　prototypes　is　currently　based　mainly　on　several　algorithms　derived　from　optical　flow.　Using　a　series　of　examples,　our　approach　has　shown　its　advantages　and　been　proved　to　be　promising　for　pixel-wise　correspondence　between　3D　face　images.