A Unifying and Rigorous Shape from Shading Method Adapted to Realistic Data and Applications
Journal of Mathematical Imaging and Vision
A Multi-Image Shape-from-Shading Framework for Near-Lighting Perspective Endoscopes
International Journal of Computer Vision
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Towards live monocular 3d laparoscopy using shading and specularity information
IPCAI'12 Proceedings of the Third international conference on Information Processing in Computer-Assisted Interventions
2D/3D registration of a preoperative model with endoscopic video using colour-consistency
AE-CAI'11 Proceedings of the 6th international conference on Augmented Environments for Computer-Assisted Interventions
3D reconstruction in laparoscopy with close-range photometric stereo
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
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The 3D reconstruction problem from a single endoscope image of a smooth object is studied in the context of the shape from shading methods and considering a single light source at the camera projection center. Based on a curve expansion shape from shading algorithm, a spherical projection model for the endoscope camera and a dichromatic model for the surface reflectance, an approach to solve practical problems, namely the endoscope image distortion and the removal of the image specular reflection component, is presented. Results obtained from application of this approach to synthetic and real images are presented.