[1] M.A. Anastasio and X. Pan, Computationally efficient and statistically robust image reconstruction in 3D diffraction tomography, "Journal of the Optical Society of America A-Optics and Image Science", 17/3, 2000, pp. 391-400.

[2] H.J. Bender, R. Manner, C. Poliwoda, S. Roth, and M. Walz, Reconstruction of 3D catheter paths from 2D X-ray projections, in "Medical Image Computing and Computer-Assisted Intervention, Proc. 2nd Int. Conf. (Cambridge, UK, Sep.20- 22)", C.J. Taylor, A. Colchester (eds.), Lecture Notes in Computer Science, vol. 1679, Springer, Berlin, 1999, pp. 981-989.

[3] D.R. Beniac, G.J. Czarnota, B.L. Rutherford, F.P. Ottensmeyer, and G. Harauz, The in situ architecture of escherichia coli ribosomal rna derived by electron spectroscopic imaging and three-dimensional reconstruction, "Journal of Microscopy", 188/1, 1997, pp. 24-35.

[4] M.-O. Berger, G. Winterfeldt, and J.-P. Lethor, Contour tracking in echocardiographic sequences without learning stage: Application to the 3D reconstruction of the beating left ventricule, in "Medical Image Computing and Computer-Assisted Intervention, Proc. 2nd Int. Conf. (Cambridge, UK, Sep.20- 22)", in C.J. Taylor, A. Colchester (eds.), Lecture Notes in Computer Science, vol. 1679, Springer, Berlin, 1999, pp. 508-515.

[5] M. Braunstein and R.Y. Levine, 3D Tomographic Reconstruction of an Absorptive Perturbation with Diffuse Photon Density Waves, "Journal of the Optical Society of America A-Optics and Image Science", 17/1, 2000, pp. 11-20.

[6] D. Carlbom, D. Terzopoulos, and K.M. Harris, Computer-assisted registration, segmentation, and 3D reconstruction from images of neuronal tissue sections, "IEEE Transactions on Medical Imaging", 13/2, 1994, pp. 351-362.

[7] S. Card and J. Mackinlay, The Structure of the Information Visualization Design Space, in "Proc InfoVis ’97 IEEE Symposium on Information Visualization", Los Alamitos, IEEE Computer Society Press, 1997, pp. 92-99.

[8] S. Card, J. MacKinlay, and B. Shneiderman, Readings in Information Visualization: Using Vision to Think, San Francisco, Morgan Kaufmann Publishers, 1999.

[9] L.-W. Chang, H.-W. Chen, and J.-R. Ho, Reconstruction of 3D medical images: a nonlinear interpolation technique for reconstruction of 3D medical images, "CVGIP - Graphical Models and Image Processing", 53/4, 1991, pp. 382-391.

[10] S.-Y.J. Chen and J.D. Carroll, Computer Assisted Coronary Intervention by Use of On-line 3d Reconstruction and Optimal View Strategy, in "Medical Image Computing and Computer-Assisted Intervention, Proc. 1st Int. Conf. (Cambridge, MA, USA, Oct.11-13)", W.M. Wells, A. Colchester, S. Delp (eds.), Lecture Notes in Computer Science, vol. 1496, Springer, Berlin, 1998, p. 377.

[11] Z. Chen and S.-Y. Ho, Incremental model building of polyhedral objects using structured light, "Pattern Recognition", 26/1, 1993, pp. 33-46.

[12] Z.H. Cho, E.X. Wu, and S.K. Hilal, Weighted backprojection approach to cone beam 3D projection reconstruction for truncated spherical detection geometry, "IEEE Transactions on Medical Imaging", 13/1, 1994, pp. 110-122.

[13] S.M. Choi, J.E. Lee, J. Kim, and M.H. Kim, Volumetric object reconstruction using the 3d-mrf model-based segmentation, "IEEE Transactions on Medical Imaging", 16/6, 1997, pp. 887-892.

[14] M.J. Cookson and A. Entwistle, Application of a laser scalpel to sectioning fragile tissues prior to optical sectioning microscopy and 3D reconstruction, "Journal of Microscopy", 200/2, 2000, pp. 174-176.

[15] L. Croce Ferri, Visualization of 3D information with digital holography using laser printers, "Computers and Graphics", 25/2, 2001, pp. 309-321.

[16] A. Cumani and A. Guiducci, Recovering the 3D structure of tubular objects from stereo silhouettes, "Pattern Recognition", 30/7, 1997, pp. 1051-1059.

[17] B. Diallo, F. Dolidon, J.M. Travere, and B. Mazoyer, VoxeLline: a software for 3D real-time visualization of biomedical images, "Computerized Medical Imaging and Graphics", 22/4, 1998, pp. 275-289.

[18] J. Dix, G. Finlay, G. Abowd, and R. Beale, Human Computer Interaction, 2nd ed., Prentice Hall, 1998.

[19] A. Elisa, F. Schmidt, M. Gattass, and P.C.P. Carvalho, Combined 3D visualization of volume data and polygonal models using a Shear-Warp algorithm, Computers and Graphics, 24/4, 2000, pp. 583-601.

[20] R. and O.D. Faugeras, Relative 3D positioning and 3D convex hull computation from a weakly calibrated stereo pair, "Image and Vision Computing", 13/3, 1995, pp. 189-196.

[21] N. Georgis, M. Petrou, and J. Kittler, On the correspondence problem for wide angular separation of non-coplanar points, "Image and Vision Computing", 16/1, Special Issue SI, 1998, pp. 35-41.

[22] J.J. Gerbrands and C.H. Slump, 3D reconstruction of homogeneous objects from two Poisson-distributed projections, "Pattern Recognition Letters", 3/2, 1985, pp. 137-145.

[23] N. Gershon, S.G. Eick, and S. Card, Information Visualization, ACM Interactions, 5/2, 1998, pp. 9-15.

[24] E. Grossmann and J. Santos-Victor, Uncertainty analysis of 3D reconstruction from uncalibrated views, "Image and Vision Computing", 18/9, 2000, pp. 685-696.

[25] G. Harauz and M. van Heel, Classification and 3d reconstruction of biological macromolecular structure from electron micrographs, in "Proceedings 8th IAPR International Conference on Pattern Recognition (Paris, France, October 27-31, 1986)", IEEE Press, New York, 1986, pp. 639-640.

[26] T. Heinonen, K. Visala, M. Blomqvist, H. Eskola, and H. Frey, 3D visualization library for multimodal medical images, "Computerized Medical Imaging and Graphics", 22/4, 1998, pp. 267-273.

[27] M. Hernandez-Hoyos, A. Anwander, M. Orkisz, J.-P. Roux, P. Douek, and I.E. Magnin, A Deformable Vessel Model with Single Point Initialization for Segmentation, Quantification and Visualization of Blood Vessels in 3D MRA, in: "Proc. 3rd Int. Conf. on Medical Robotics, Imaging and Computer Assisted Surgery (Pittsburg, PA, Oct.11-14)", Scott L. Delp, Anthony M. DiGioia, Branislav Jaramaz (eds.), Lecture Notes in Computer Science, vol. 1935, Springer Verlag, Berlin, 2000, pp. 735-645.

[28] P.-K. Ho and R. Chung, Stereo-Motion with Stereo and Motion in Complement, "IEEE Transactions on Pattern Analysis and Machine Intelligence", 22/2, 2000, pp. 215-220.

[29] T. Huttner and W. Strasser, FlayAway: a 3D terrain visualization system using multiresolution principles, "Computers and Graphics", 23/4, 1999, pp. 479- 485.

[30] E.A. Kopylov and K.A. Dmitriev, Light propagation visualization as a tool for 3D scene analysis in lighting design, "Computers and Graphics", 24/1, 2000, pp. 31-39.

[31] P.D. Lauren and N. Nandhakumar, Estimating the viewing parameters of random, noisy projections of asymmetric objects for tomographic reconstruction, "IEEE Transactions on Pattern Analysis and Machine Intelligence", 19/5, 1997, pp. 417-430.

[32] T.Y. Law and P.A. Heng, Automatic Centerline Extraction for 3D Virtua Bronchoscopy, in "Proc. 3rd Int. Conf. on Medical Robotics, Imaging and Computer Assisted Surgery (Pittsburg, PA, Oct.11-14)", S.L. Delp, A.M. Di Gioia, B. Jaramaz (eds.), Lecture Notes in Computer Science, vol. 1935, Springer Verlag, Berlin, 2000, pp. 786-795.

[33] R. Lengagne, P. Fua, and O. Monga, 3D stereo reconstruction of human faces driven by differential constraints, "Image and Vision Computing", 18/4, 2000, pp. 337-343.

[34] W.H. Liao, S.J. Aggarwal, and J.K. Aggarwal, The reconstruction of dynamic 3d structure of biological objects using stereo microscope images, "Machine Vision and Applications", 9/4, 1997, pp. 166-178.

[35] J. Lotjonen, I.E. Magnin, L. Reinhardt, J. Nenonen, and T. Katila, Automatic reconstruction of 3D geometry using projections and a geometric prior model, in "Image Computing and Computer-Assisted Intervention - MICCAI'99, Proc. 2nd Int. Conf. (Cambridge, UK, Sep.20-22)", C.J. Taylor, A. Colchester (eds.), Medical Lecture Notes in Computer Science, vol. 1679, Springer, Berlin, 1999, pp. 192-201.

[36] M. Majewski, A tutorial on the realistic visualization of 3D Sierpinski fractals, Computers and Graphics, 22/1, 1998, pp. 129-142.

[37] A. Marchand and F. Chaumette, Active vision for complete scene reconstruction and exploration, "IEEE Transactions on Pattern Analysis and Machine Intelligence", 21/1, 1999, pp. 65-72.

[38] J.M. Messerli, H.T.M. van der Voort, E. Rungger-Braendle, and J.C. Perriard, 3-D visualization of multi-channel volume data – The amSFP algorithm, "Cytometry", 14/7, 1993, pp. 725-735.

[39] J. Montagnat and H. Delingette, Globally constrained deformable models for 3D object reconstruction, "Signal Processing", 71/2, 1998, pp. 173-186.

[40] N. Navab, A. Bani-Hashemi, M.S. Nadar, K. Wiesent, P. Durlak, T. Brunner, K. Barth, and R. Graumann, 3D Reconstruction from Projection Matrices in a C-Arm Based 3D-Angiography System, "Medical Image Computing and Computer-Assisted Intervention, Proc. 1st Int. Conf. (Cambridge, MA, USA, Oct.11-13)", in W.M. Wells, A. Colchester, S. Delp (eds.), Lecture Notes in Computer Science, vol. 1496, Springer, Berlin, 1998, p. 119.

[41] N. Navab, M. Mitschke, and O. Schutz, Camera augmented mobile C-arm (CAMC) application: 3D reconstruction using a low-cost mobile C- arm, in "Medical Image Computing and Computer-Assisted Intervention - MICCAI'99, Proc. 2nd Int. Conf. (Cambridge, UK, Sep.20-22)", C.J. Taylor, A. Colchester (eds.), Lecture Notes in Computer Science, vol. 1679, Springer, Berlin, 1999, pp. 688-697.

[42] J.C. Olivo, J.C. Izpisua-Belmonte, C. Tickle, C. Boulin, and D. Duboule, Reconstruction from serial sections: a tool for developmental biology. Application to Hox genes expression in chicken wing buds, "BioImaging", 1/3, 1993, pp. 151-158.

[43] P. Parodi and G. Piccioli, 3D shape reconstruction by using vanishing points, "IEEE Transactions on Pattern Analysis and Machine Intelligence", 18/2, 1996, pp. 211-217.

[44] F. Pedersini and A. Sarti, Multicamera motion estimation for high-accuracy 3D reconstruction, "Signal Processing", 80/1, 2000, pp. 1-21.

[45] M. Pollefeys and L. van Gool, Stratified Self-Calibration with the Modulus Constraint, "IEEE Transactions on Pattern Analysis and Machine Intelligence", 21/8, 1999, pp. 707-724.

[46] J. Preece, Y. Rogers, H. Sharp, D. Benion, S. Holland, and T. Carey, Human Computer Interaction, Harlow, Addison Wesley, 1994.

[47] M.K. Reed and P.K. Allen, 3D Modeling from Range Imagery: An Incremental Method with a Planning Component, "Image and Vision Computing", 17/2 "Special Issue SI", 1999, pp. 99-111.

[48] M.K. Reed and P.K. Allen, Constraint-Based Sensor Planning for Scene Modeling, "IEEE Transactions on Pattern Analysis and Machine Intelligence", 22/12, 2000, pp. 1460-1466.

[49] Th. Rok, H. Handels, U. Breuer, and K. Szab, 3D visualization of microvascular blood vessel networks, "Computers and Graphics", 19/1, 1995, pp. 89-96.

[50] S. Ruan, A. Bruno, and J.L. Coatrieux, 3D motion and reconstruction of coronary arteries from biplane cineangiography, "Image and Vision Computing", 12/10, 1994, pp. 683-689.

[51] J.M. Sanches and J.S. Marques, A Rayleigh reconstruction/interpolation algorithm for 3D ultrasound, "Pattern Recognition Letters", 21/10, 2000, pp. 917-926.

[52] T.Y. Sato, S. Nakajima, H. Atsumi, T. Koller, G. Gerig, S. Yoshida, and R. Kikinis, 3D Multi-scale line filter for segmentation and visualization of curvilinear structures in medical images, in "Proc. 1st Joint Conf. Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer-Assisted Surgery (Grenoble, F, March 19-22)", J. Troccaz, E. Grimson, R. Mosges (eds.), Lecture Notes in Computer Science, vol. 1205, Springer, Berlin, 1997, p. 213.

[53] T. Schiemann, K.H. Hohne, H. Kramer, A. Pommert, M. Riemer, R. Schubert, and U. Tiede, Intelligent volumes – A new concept for representing spatial knowledge, "Pattern Recognition Letters", 15/5, 1994, pp. 519-526.

[54] P.G. Selfridge, Using a simple shape measure to improve automatic 3D reconstruction, "Pattern Recognition Letters", 5/5, 1987, pp. 343- 348.

[55] M. Senasli, L. Garnero, A. Herment, and E. Mousseaux, 3D Reconstruction of Vessel Lumen from Very Few Angiograms by Dynamic Contours Using a Stochastic Approach, "Graphical Models and Image Processing", 62/2, 2000, pp. 105-127.

[56] K. Shanmukh and A.K. Pujari, Volume intersection with optimal set of directions, "Pattern Recognition Letters", 12/3, 1991, pp. 165-170.

[57] B. Shneiderman, The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations, in "Proc. IEEE Symposium on Visual Languages '96", Los Alamitos, IEEE Computer Society Press, 1996, pp. 336-343.

[58] B. Shneiderman. Designing The User Interface, 3rd ed., Addison Wesley, 1998.

[59] M. Shpitalni and H. Lipson, Identification of faces in a 2D line drawing projection of a wireframe object, "IEEE Transactions on Pattern Analysis and Machine Intelligence", 18/10, 1996, pp. 1000-1012.

[60] R. Spence, Information Visualization, Addison-Wesley, 2000.

[61] P. Srinivasan, Ping Liang, and S. Hackwood, Computational geometric methods in volumetric intersection for 3D reconstruction, "Pattern Recognition", 23/8, 1990, pp. 843-857.

[62] G.P. Stein and A. Shashua, On degeneracy of linear reconstruction from three views: Linear line complex and applications, "IEEE Transactions on Pattern Analysis and Machine Intelligence", 21/3, 1999, pp. 244-251.

[63] H.T.M. van der Voort, J.M. Messerli, H.J. Noordmans, and A.W.M. Smeulders, Volume visualization for interactive microscopic image analysis, "BioImaging", 1/1, 1993, pp. 20-29.

[64] H. Zabrodsky and D. Weinshall, Using bilateral symmetry to improve 3d reconstruction from image sequences, "Computer Vision and Image Understanding", 67/1, 1997, pp. 48-57.

[65] Z.Y. Zhang, Motion and structure from two perspective views - from essential parameters to euclidean motion through the fundamental matrix, "Journal of the Optical Society of America A-Optics and Image Science", 14/11, 1997, pp. 2938-2950.

[66] Z.Y. Zhang, On the optimization criteria used in two-view motion analysis, "IEEE Transactions on Pattern Analysis and Machine Intelligence", 20/7, 1998, pp. 717-729.

[67] Z.F. Zhang, R. Weiss, and A.R. Hanson, Obstacle detection based on qualitative and quantitative 3D reconstruction, "IEEE Transactions on Pattern Analysis and Machine Intelligence", 19/1, 1997, pp. 15-26.

[68] Z. Zhang and G. Xu, A Unified theory of uncalibrated stereo for both perspective and affine cameras, "Journal of Mathematical Imaging and Vision", 9/3, 1998, pp. 213-229.

[69] J.Y. Zhen and A. Murata, Acquiring a Complete 3D Model from Specular Motion under the Illumination of Circular-Shaped Light Sources, "IEEE Transactions on Pattern Analysis and Machine Intelligence", 22/8, 2000, pp. 913-920.

[70] T. Wilson and J.B. Tan, Three dimensional image reconstruction in conventional and confocal microscopy, "BioImaging", 1/3, 1993, pp. 176-184.

[71] P. Windyga, M. Garreau, and J.L. Coatrieux, Estimation of search-space in 3D coronary artery reconstruction using angiographic biplane images, "Pattern Recognition Letters", 19/14, 1998, pp. 1325-1330.

[72] M. Worring, P. Pfluger, A.W.M. Smeulders, and A.B. Houtsmuller, Measurement of 3D-Line shaped objects, Pattern Recognition Letters, 15/5, 1994, pp. 497-506.

[73] M.F. Wu and H.T. Sheu, Representation of 3D surfaces by two variable fourier descriptors, "IEEE Transactions on Pattern Analysis and Machine Intelligence", 20/8, 1998, pp. 858-863.

[74] Z.M. Yang and Y.F. Wang, Error analysis of 3D shape construction from structured lighting, "Pattern Recognition", 29/2, 1996, pp. 189-206.

[75] X.B. Yuan, A mechanism of automatic 3D object modeling, "IEEE Transactions on Pattern Analysis and Machine Intelligence", 17/3, 1995, pp. 307-311.