3D Surface Reconstruction from Endoscopic Videos

Mathematics and Visualization

Volumn , Issue , 2008, Pages 61-74

  Kaufman, Arie ^a   Wang, Jianning ^a  

^a STONY BROOK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 78650821622     PISSN: 16123786     EISSN: 2197666X     Source Type: Book Series    
DOI: 10.1007/978-3-540-72630-2_4     Document Type: Chapter

References (19)

1. Bregler, C., Hertzmann, A., Biermann, H.: Recovering non-rigid 3D shape from image streams. IEEE Conference on Computer Vision and Pattern Recognition, 690–696 (2000)
2. Bitter, I., Kaufman, A.E., Sato, M.: Penalized-distance volumetric skeleton algorithm. IEEE Transactions on Visualization and Computer Graphics, 7, 195–206 (2001)
3. Barles, B., Souganidis, P.: Convergence of approximation schemes for fully nonlinear second order equations. Journal of Asymptotic Analysis, 4, 271–283 (1991)
4. Christy, S., Horaud, R.: Euclidean shape and motion from multiple perspective views by affine iterations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18, 1098–1104 (1996)
5. Helferty, J.P., Higgins, W.E.: Combined endoscopic video tracking and virtual 3d ct registration for surgical guidance. IEEE International Conference on Image Processing, II: 961–964 (2002)
6. Hong, L., Muraki, S., Kaufman, A., Bartz, D., He, T.: Virtual Voyage: interactive navigation in the human colon. SIGGRAPH, 27–34 (1997)
7. Helferty, J.P., Zhang, C., McLennan, G., Higgins, W.E.: Videoendo-scopic distortion correction and its application to virtual guidance of endoscopy. IEEE Transactions on Medical Imaging, 20 605–617 (2001)
8. Kaufman, A., Lakare, S., Kreeger, K., Bitter, I.: Virtual colonoscopy. Communications of the ACM, 48, 37–41 (2005)
9. Lorensen, W.E., Cline, H.E.: Marching cubes: a high resolution 3D surface construction algorithm. SIGGRAPH, 163–170 (1987)
10. Mahamud, S., Hebert, M., Omori, Y., Ponce, J.: Provably-convergent iterative methods for projective structure from motion. IEEE Conference on Computer Vision and Pattern Recognition, 1018–1025 (2001)
11. Poelman, C.J., Kanade, T.: A paraperspective facttorization method for shape and motion recovery. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19, 206–218 (1997)
12. Prados, E.: Application of the theory of the viscosity solutions to the shape from shading problem. Ph.D thesis, University of Nice Sophia-Antipolis, France (1996)
13. Prados, E., Faugeras, O.: Shape from shading: a well-posed problem?. IEEE Conference on Computer Vision and Pattern Recognition, 870–877 (2005)
14. Rusinkiewicz, S., Hall-Holt, O., Levoy, M.: Real-time 3D model acquisition. SIGGRAPH, 438–446 (2002)
15. Snavely, N., Seitz, S.M., Szeliski, R.: Photo tourism: exploring photo collections in 3D. SIGGRAPH, 835–846 (2006)
16. Tomasi, C., Kanade, T.: Shape and motion from image streams under orthography: a factorization method. International Journal of Computer Vision, 9, 137–154 (1992)
17. Winter, C., Scholz, I., Rupp, S., Wittenberg, T.: Reconstruction of tubes from monocular fiberscopic images-application and first results. Vision, Modeling, and Visualization, 20 57–64 (2005)
18. Zhang, R., Tsai, P., Cryer, J.E., Shah, M.: Shape from shading: a survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21, 690–706 (1999)
19. Zhang, R.: A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 1330–1334 (2000)