Shape from Shading and Optical Flow Used for 3-Dimensional Reconstruction of Endoscope Image

Abstract

 Recent year’s endoscopy is widely used in computer assisted surgeries. Three-Di
mensional (3D) reconstruction has been presented due to the lack of depth information from 
endoscope images. One of the fundamental approaches in the domain of computer vision is 
Shape From Shading (SFS). This algorithm was proposed to obtain the shape of an object 
from a single intensity image. Because of the severe conditions are required in shape from 
shading to reconstruct 3D surface. The photometric calibration is proposed from the view of 
image processing. The calibration is important for illumination-based visualization techniques 
such as shape-from-shading. The result showed that the stability of surface reconstruction is 
improved when the photometric calibration is used before shape from shading. But the surface 
reconstruction from Shape From Shading (SFS) is the relative variation in the gray gradient 
f
 ield. So, the change from relative variation to absolute variation is necessary when the actual 
size of surroundings have to be known. Then the optical flow is introduced to solve this change 
in my paper. The optical tracker is also used in this system to capture the pose of endoscopy.