In　order　to　solve　the　problem　of　difficult　pose　solution　with　a　small　amount　of　data　input,　a　3D　reconstruction　model　of　fixed　pose　is　proposed　based　on　bionic　head-eye　cooperation　in　this　paper.　Firstly,　the　model　of　the　extreme　positions　of　head-eye　coordination　is　built　and　the　Information　Obtained　Frequency　(IOF)　is　obtained.　By　adopting　the　bionic　method,　the　traditional　3D　reconstruction　method　is　improved,　and　the　problem　of　solving　poses　is　transformed　into　a　fixed　pose　pre-processing.　We　obtain　the　fixed　pose-matched　RGB　image　and　depth　map　through　IOF,　so　that　the　bionic　pose　can　be　directly　used　for　3D　reconstruction.　This　model　is　suitable　for　indoor　mobile　robots.　On　the　premise　of　meeting　the　navigation　requirements　of　the　robot,　a　more　accurate　3D　reconstruction　node　model　that　conforms　to　human　vision　can　be　obtained.　©　2020　IEEE.