  Generic 3D reconstruction from a single image is a difficult problem. A lot
of data loss occurs in the projection. A domain based approach to
reconstruction where we solve a smaller set of problems for a particular use
case lead to greater returns. The project provides a way to automatically
generate full 3-D renditions of actual symmetric images that have some prior
information provided in the pipeline by a recognition algorithm. We provide a
critical analysis on how this can be enhanced and improved to provide a general
reconstruction framework for automatic reconstruction for any symmetric shape.
