3D object reconstruction from uncalibrated images using an off-the-shelf camera

Computational Methods in Applied Sciences

Volumn 13, Issue , 2009, Pages 117-136

  Azevedo, Teresa C S ^a   Tavares, João Manuel R S ^b   Vaz, Mário A P ^b  

^a UNIVERSITY OF PORTO   (Portugal)

^b UNIVERSITY OF PORTO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84962799510     PISSN: 18713033     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-4020-9086-8_7     Document Type: Conference Paper

References (64)

1. T. I. Vassilev (2000). Dressing Virtual People, Systemics, Cybernetics and Informatics, Orlando, FL.
2. P. Volino, F. Cordier and N. Magnenat-Thalmann (2005). From early virtual garment simulation to interactive fashion design, Computer-Aided Design, 37(6): 593-608.
3. S. M. Bhandarkar, T. D. Faust and M. Tang (1999). CATALOG: a system for detection and rendering of internal log defects using computer tomography, Machine Vision and Applications, 11: 171-190.
4. L. Song, X. Qu and S. Ye (2007). Improved SFS 3D measurement based on BP neural network, Image and Vision Computing, 25(5): 614-622.
5. D. Cobzas, H. Zhang and M. Jagersand (2003). Image-based localization with depth-enhanced image map, IEEE International Conference on Robotics and Automation, Taipeh, Taiwan, 2: 1570-1575.
6. K. O. Arras, N. Tomatis, B. T. Jensen, et al. (2001). Multisensor on-the-fly localization: precision and reliability for applications, Robotics and Autonomous Systems, 34(2-3): 131-143.
7. A. J. Davison, A. G. Cid and N. Kita (2004). Real-Time 3D SLAM with Wide-Angle Vision, 5th IFAC Symposium on Intelligent Autonomous Vehicles, Lisbon, Portugal.
8. T. Lemaire, C. Berger, I.-K. Jung, et al. (2007). Vision-based SLAM: stereo and monocular approaches, International Journal of Computer Vision, 74(3): 343-364.
9. J.-C. Nebel, A. Sibiryakov and X. Ju (2003). V-Man Generation for 3-D Real Time Animation, a Symposium on Intelligent Motion and Interaction Within Virtual Environments, London.
10. A. Koutsoudis, F. Arnaoutoglou and C. Chamzas (2007). On 3D reconstruction of the old city of Xanthi. A minimum budget approach to virtual touring based on photogrammetry, Journal of Cultural Heritage, 8(1): 26-31.
11. H. Aans and F. Kahl (2002). Estimation of Deformable Structure and Motion, Vision and Modelling of Dynamic Scenes Workshop, Copenhagen, Denmark.
12. B. Vagvolgyi, C. Reiley, G. Hager, et al. (2008). Augmented reality using registration of 3D computed tomography to stereoscopic video of laparoscopic renal surgery, The Journal of Urology, 179(4): 241-242.
13. P. Tukuisis, P. Meunier and C. E. Jubenville (2001). Human body surface area: measurement and prediction using three dimensional body scans, European Journal of Applied Physiology and Occupational Physiology, 85(3-4): 264-271.
14. L. Benton and J.-C. Nebel (2002). Study of the breathing pattern based on 4D data collected by a dynamic 3D body scanner, 7th Numérisation 3D/Scanning, Paris, France.
15. C. Beneder, F. G. Fuechsel, T. Krause, et al. (2008). The role of 3D fusion imaging in sentinel lymphadenectomy for vulvar cancer, Gynecologic Oncology, 109(1): 76-80.
16. G. D. Giammarco, M. L. Storto, R. Marano, et al. (2006). Superior vena cava syndrome: a 3D CT-scan reconstruction, European Journal of Cardio-Thoracic Surgery, 30(2): 384-385.
17. N. H. Mahmood and T. Tjahjadi (2006). 3D Reconstruction From Multiple Views for Orthotic and Prosthetic Design: An Overview, SCOReD - Student Conference on Research and Development, Shah Alam, Selangor, Malaysia, 27-28.
18. S. I. Buchaillard, S. H. Ong, Y. Payan, et al. (2007). 3D statistical models for tooth surface reconstruction, Computers in Biology and Medicine, 37(10): 1461-1471.
19. A. Pednekar and I. A. Kakadiaris (2000). Applications of Virtual Reality in Surgery, Indian Conference on Computer Vision, Graphics and Image Processing, Graphics and Applications session, Bangalore, India.
20. J. P. Helferty, A. J. Sherbondy, A. P. Kiraly, et al. (2007). Computer-based system for the virtual-endoscopic guidance of bronchoscopy, Computer Vision and Image Understanding, 108(1-2): 171-187.
21. D. P. Robertson and R. Cipolla (2002). Building Architectural Models from Many Views Using Map Constraints, 7th European Conference on Computer Vision-Part II, Copenhagen, Denmark, 155-169.
22. S. Lee, D. Feng and B. Gooch (2008). Automatic Construction of 3D Models from Architectural Line Drawings, Symposium on Interactive 3D Graphics and Games, Redwood City, California, 123-130.
23. R. Sablatnig, S. Tosovic and M. Kampel (2002). Combining Shape from Silhouette and Shape from Structured Light for Volume Estimation of Archaeological Vessels, International Conference on Pattern Recognition, Quebec City, Canada 1: 364-367.
24. M. Kampel and R. Sablatnig (2007). Rule based system for archaeological pottery classification, Pattern Recognition Letters, 28(6): 740-747.
25. A. Calbi, C. S. Regazzoni and L. Marcenaro (2006). Dynamic Scene Reconstruction for Efficient Remote Surveillance, IEEE International Conference on Video and Signal Based Surveillance, Sydney, Australia, 99.
26. S. Fleck, F. Busch, P. Biber, et al. (2006). 3D Surveillance a Distributed Network of Smart Cameras for Real-Time Tracking and its Visualization in 3D, IEEE Computer Vision and Pattern Recognition, Workshop on Embedded Computer Vision, New York, 118.
27. N. Lynnerup, M. Andersen and H. P. Lauritsen (2003). Facial image identification using Photomodeler®, Legal Medicine, 5(3): 156-160.
28. J. Lee, E.-D. Lee, H.-O. Tark, et al. (2008). Efficient height measurement method of surveillance camera image, Forensic Science International, 177(1): 17-23.
29. R. Gershon and M. Benady (2001). Noncontact 3-D measurement technology enters a new era, http://www.qualitydigest.com/sept01/html/3d.html (retrieved in June 2007).
30. S. M. Seitz (1999). An Overview of Passive Vision Techniques, SIGGRAPH 2000 Course on 3D Photography, Course Notes, New Orleans, Louisiana, LA.
31. S. M. Youssef and R. M. Salem (2007). Automated barcode recognition for smart identification and inspection automation, Expert Systems with Applications, 33(4): 968-977.
32. Y Yu and J. Malik (1998). Recovering photometric properties of architectural scenes from photographs, Computer Graphics, 32: 207-217.
33. G Zhang, J. He and X. Li (2005). 3D vision inspection for internal surface based on circle structured light, Sensors and Actuators A: Physical, 122(1): 68-75.
34. C. P. Witana, S. Xiong, J. Zhao, et al. (2006). Foot measurements from three-dimensional scans: a comparison and evaluation of different methods, International Journal of Industrial Ergonomics, 36(9): 789-807.
35. C. Früh and A. Zakhor (2004). An automated method for large-scale, ground-based city model acquisition, International Journal of Computer Vision, 60(1): 5-24.
36. J. Chen and B. Chen (2008). Architectural modeling from sparsely scanned range data, International Journal of Computer Vision, 78(2-3): 223-236.
37. M. Levoy, K. Pulli, B. Curless, et al. (2000). The Digital Michelangelo Project: 3D Scanning of Large Statues, ACM SIGGRAPH 2000 - International Conference on Computer Graphics and Interactive Techniques, New Orleans, Louisiana, 131-144, ACM Press, Addison Wesley, New York.
38. G Guidi, B. Frischer, M. Russo, et al. (2006). Three-dimensional acquisition of large and detailed cultural heritage objects, Machine Vision and Applications, 17(6): 349-360.
39. F Remondino and S. El-Hakim (2006). Image-based 3D modelling: a review, The Photogrammetric Record, 21(115): 269-291.
40. F Remondino, A. Guarnieri and A. Vettore (2005). 3D modeling of close-range objects: photogrammetry or laser scanning?, SPIE-IS&T Electronic Imaging, 5665: 216-225.
41. S. Ullman (1979). The Interpretation of Visual Motion, MIT Press, Cambridge, MA.
42. T. Broida and R. Chellappa (1991). Estimating the kinematics and structure of a rigid object from a sequence of monocular images, Pattern Analysis and Machine Intelligence, 13: 497-513.
43. C. Tomasi and T. Kanade (1992). Shape and motion from image streams under orthography: a factorization method, International Journal of Computer Vision, 9: 137-154.
44. J. Oliensis (1999). A multi-frame structure-from-motion algorithm under perspective projection, International Journal of Computer Vision, 34: 1-30.
45. F Dellaert, S. Seitz, C. Thorpe, et al. (2000). Structure from motion without correspondence, IEEE Computer Vision and Pattern Recognition, Hilton Head, SC, 2: 557-564.
46. J. Hui (2006). A holistic approach to structure from motion, PhD on Computer Science, University of Maryland, MD.
47. R. Hartley and A. Zisserman (2004). Multiple View Geometry in Computer Vision, 2nd ed., Cambridge University Press, Cambridge.
48. S. Seitz and C. R. Dyer (1997). Photorealistic Scene Reconstruction by Voxel Coloring, Computer Vision and Pattern Recognition Conference, San Juan, Puerto Rico, 1067-1073.
49. A. Laurentini (1994). The visual hull concept for silhouette-based image understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(2): 150-162.
50. M. Pollefeys, L. V Gool, M. Vergauwen, et al. (2004). Visual modeling with a hand-held camera, International Journal of Computer Vision, 59(3): 207-232.
51. C. G. Harris and M. J. Stephens (1988). A Combined Corner and Edge Detector, Fourth Alvey Vision Conference, University of Manchester, UK, 15: 147-151.
52. R. C. Gonzalez and P. Wintz (1987). Digital Image Processing, 2nd ed., Addison Wesley, Reading, MA.
53. P. J. Burt, C. Yen and X. Xu (1982). Local Correlation Measures for Motion Analysis: A Comparative Study, Pattern Recognition and Image Processing, Las Vegas, NV, 269-274.
54. J. P. Lewis (1995). Fast Normalized Cross Correlation, Proceedings Vision Interface (VI '95), Quebec, 120-123.
55. A. Moore (2006). Stereo, Computer Vision Lectures, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA.
56. O. Faugeras, Q.-T. Luong and S. J. Maybank (1992). Camera Self-Calibration: Theory and Experiments, 2nd European Conference on Computer Vision, Santa Margherita Ligure, Italy, Lecture Notes in Computer Vision, Springer, 588: 321-334.
57. M. A. Fischler and R. Bolles (1981). RANdom SAmpling Consensus: a paradigm for model fitting with application to image analysis and automated cartography, Communications of the ACM, New York, 24(6): 381-395.
58. T. C. S. Azevedo, J. M. R. S. Tavares and M. A. P. Vaz (2007). 3D Volumetric Reconstruction and Characterization of Objects from Uncalibrated Images, 7th IASTED International Conference on Visualization, Imaging, and Image Processing, Palma de Mallorca, Spain, 141-146.
59. Z. Zhang (2000). A flexible new technique for camera calibration, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11): 1330-1334.
60. K. Sande (2004). A Practical Setup for Voxel Coloring using off-the-shelf Components, Bachelor Project, Universiteit van Amsterdam, The Netherlands.
61. M. Loper (2002). Archimedes: Shape Reconstruction from Pictures - A Generalized Voxel Coloring Implementation, http://matt.loper.org/Archimedes/(retrieved in August 2006).
62. W. E. Lorensen and H. E. Cline (1987). Marching cubes: a high resolution 3D surface construction algorithm, ACM SIGGRAPH Computer Graphics, New York, NY, 21(4): 163-169.
63. F. Isgrò and E. Trucco (1999). Projective rectification without epipolar geometry, IEEE Conference on Computer Vision and Pattern Recognition, Fort Collins, Colorado, CO, 1: 94-99.
64. S. Birchfield (1999). Depth discontinuities by pixel-to-pixel stereo, International Journal of Computer Vision, 35(3): 269-293, http://vision.stanford.edu/~birch/p2p/ (retrieved in November 2004).