This document discusses a novel Homographic Image Mosaicking and Morphing (HIMM) algorithm proposed to provide a see-through effect for laparoscopic surgeries. The HIMM algorithm stitches together images from multiple sensors using scale invariant feature detection, vector field consensus for mismatch rejection, and image warping. This allows creation of a panoramic video view of the surgical area to give surgeons an open cavity perspective. Experimental results demonstrate the HIMM algorithm can maintain correspondence between input images and provide the visualization needed for minimally invasive surgeries.