Shape from Shading and Optical Flow Used for 3-Dimensional Reconstruction of Endoscope Image.
Recent year’s endoscopy is widely used in computer assisted surgeries. Three-Dimensional 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.
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 is the relative variation in the gray gradient field. 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.
3D reconstruction from endoscope image is a boomed technology in minimally invasive surgery, the lack of depth from endoscope image push the development of diverse technology in 3D reconstruction. The reconstruction of endoscopic sequence images is being frequently studied during the past years.
The feature matching between sequence images is important for the subsequent reconstruction. Scale Invariant Feature Transform is wildly used in image matching but suffered from low matching pairs when employed in endoscope image.
Otolaryngol Open J. 2015; 1(1): 20-23. doi: 10.17140/OTLOJ-1-106
