15-862 Computed Photography - Final Project Endoscope Exploration on Knee Surface
نویسنده
چکیده
Endoscope is widely used in the minimally invasive surgery. However the size and distortion of endoscope images limit its use in the surgery planning and navigation. In this project, we stitch the endoscope video images up to get a large view of the knee surface, which actually enlarge the view of the surgeons thus enable them to explore the knee surface in the operation. We first correct the radial distortion by using camera sphere projection model. Then we calibrate the camera by estimating the intrinsic parameters of endoscope camera. With two trackers installed on the bone and endoscope, we can easily recover the transformation from the bone to the endoscope. For each vertex on the bone surface, we can compute the texture coordinates based on the bone to endoscope transformation. Finally, texture mapping technique is used to stitch the endoscope images onto the surface.
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