A　novel　blind　watermarking　method　for　the　3D　mesh　model　is　proposed.　This　method　is　based　on　the　geometry　image　which　is　created　by　the　parameterization　and　sampling　of　the　model.　The　geometry　image　except　the　boundary　is　partitioned　into　several　sub-images　of　equal　size.　Every　sub-image　is　normalized　and　decomposed　with　two-dimensional　Haar　wavelet.　The　watermark　is　embedded　into　the　low　components　of　the　wavelet　coefficients　with　the　LSB　method.　Other　conventional　2D　image　watermarking　methods　could　also　be　applied.　The　watermarked　model　is　reconstructed　from　the　embedded　geometry　image.　For　the　extraction　of　the　watermark,　the　original　model　is　not　required.　Experimental　results　show　the　proposed　algorithm　is　robust　against　the　attacks　such　as　translation,　scaling,　rotation,　local　deformation　and　certain　amplitude　of　noise　disturbance.　©　2007　IEEE.