In　this　paper,　the　artificial　compound　eye　vision　system　is　used　to　develop　an　effective　algorithm　for　acquiring　3D　information　of　object.　According　to　compound　eye　vision　system　constructed,　the　imaging　principle　and　correlation　between　the　object　point　and　the　imaging　point　is　analyzed.　Then　the　cross　correlation　matching　algorithm　is　present　to　extract　the　depth　and　obtain　the　3D　information.　The　influence　factors　such　as　number　of　matched　elemental　images　and　matching　window　size　are　considered　and　analyzed.　The　experimental　is　implemented　to　verify　the　validity　of　the　proposed　method.　©　(2014)　Trans　Tech　Publications,　Switzerland.