In　this　paper,　an　approach　for　3D　head　pose　estimation　from　a　monocular　sequence　is　proposed.　At　the　beginning,　we　employ　modified　block　matching　to　track　face　features,　including　five　points　(two　at　inner　eyebrow　tips,　two　at　eyes　and　the　fifth　is　nose　tip).　A　matching　criterion　is　designed　the　effect　of　matching　is　improved.　To　estimate　the　head　pose　accurately　and　simply,　we　present　an　algorithm　based　on　the　geometry　information　of　the　individual　face　and　projective　model　without　the　need　of　any　3D　face　model　and　any　special　marks　on　user＇s　face.　Any　people　with　different　facial　characters　can　be　adapted　to　this　algorithm.　At　the　end　of　this　paper,　some　experimental　results　and　conclusion　are　given.　1　©　2003　IEEE.