Three-dimensional　(3D)　video　with　depth　information　is　essential　for　many　applications　in　the　consumer　electronics　industry.　The　3D-high　efficiency　video　coding　(3D-HEVC)　is　the　latest　3D　video　coding　standard.　Nonetheless,　it　utilizes　various　complex　coding　techniques　to　create　extra　intermediate　views　for　better　representation　of　3D　videos,　which　imposes　significant　challenges　for　real-time　3D　video　applications.　Specifically,　the　high　complexity　of　3D-HEVC　intra　coding　could　be　a　significant　barrier　to　the　adoption　of　3D　video　in　consumer　electronics.　Therefore,　in　this　research,　a　low-complexity　3D-HEVC　intra　coding　technique　is　proposed.　Firstly,　we　perform　a　complexity　analysis　of　3D-HEVC　intra　coding.　Secondly,　we　develop　a　multi-layer　features　fusion　(MLFF)　model　to　estimate　the　optimal　coding　tree　unit　(CTU)　depth　and　prediction　unit　(PU)　mode.　Thirdly,　to　improve　the　model＇s　prediction　accuracy,　we　incorporate　two　external　features　into　the　model:　the　quantization　parameter　(QP)　and　texture　complexity.　Finally,　we　embed　the　MLFF　model　into　the　3D-HEVC　test　platform.　The　experimental　results　demonstrate　that　the　suggested　method　can　effectively　reduce　the　3D-HEVC　intra　coding　time　with　a　small　amount　of　rate-distortion　(RD)　performance　loss　while　maintaining　the　subjective　quality　of　the　synthesized　view.