Facial　aging　synthesis　is　one　of　the　main　topics　in　computer　graphics.　This　paper　proposes　a　synthetic　approach　to　3D　aging　faces　by　using　color　gabor　wavelet　and　texture　transplant　techniques.　Based　on　3D　aging　templates,　the　color　gabor　wavelet　transform　is　carried　out　first　to　extract　the　highfrequency　sub-images　from　the　texture　maps,　in　which　is　contained　the　texture　feature　of　aging　skin.　Then　the　corresponding　sub-images　of　target　facial　images　are　replaced　and　fused.　The　transplant　of　aging　texture　towards　target　face　is　finally　achieved　through　wavelet　reconstruction.　The　experimental　results　show　that　the　aging　features　can　be　extracted　effectively　by　wavelet　transform　and　be　used　to　synthesize　the　3D　aging　face　of　the　target　face.　©2009　IEEE.