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Accurate 3D reconstruction for less overlapped laparoscopic sequential images

In this paper, we propose a new method that can reconstruct the more accurate 3D surface point clouds from the standard laparoscopic (single camera) imaging system even with less sequential (less overlapped) and low quality images, which is a promising way to achieve a faster surgical guidance. The strength of our method is to find more accurate feature points that lead to precise 3D reconstruction even with less number of images and low quality images. The superiority of our method was proved by comparing with a well-known method, visual structure from motion (VSFM) in terms of accuracy and reconstruction capability with extremely reduced number of images. The experimental results show that our method significantly works better than VSFM.