Blending of three-dimensional geometric model shapes

Three-dimensional (3D) geometric model shapes blending method can create various in-between models from two inputs of shapes. Though, many blended are implausible due to different type, inappropriate matching-parts, improper parts-segmentation, and non-tally number segmentation parts. crucial should be taken into account. The objective this paper is study the strengths weaknesses some prominent methods 3D reconstruction methods. An interpolated shape program using Laplacian-based contraction Slinky-based developed illustrate critical problems arise in process. Output results compared with existing one will observe potential research direction work