Unsupervised dense object discovery, detection, tracking and reconstruction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8690 LNCS, Issue PART 2, 2014, Pages 80-95

  Ma, Lu ^a   Sibley, Gabe ^a  

^a GEORGE WASHINGTON UNIVERSITY   (United States)

Author keywords

3D Reconstruction; 3D Tracking; Dense Reconstruction; Learning; Level Set Evolution; SLAM; Structure From Motion

Indexed keywords

ITERATIVE METHODS;

3D RECONSTRUCTION; 3D TRACKING; LEARNING; LEVEL-SET EVOLUTION; SLAM; STRUCTURE FROM MOTION;

ROBOTICS;

EID: 84906482275     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10605-2_6     Document Type: Conference Paper

References (23)

1. Baker, S., Matthews, I.: Lucas-kanade 20 years on: A unifying framework. International Journal of Computer Vision 56(3), 221-255 (2004)
2. Bao, S.Y., Chandraker, M., Lin, Y., Savarese, S.: Dense object reconstruction with semantic priors. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1264-1271. IEEE (2013)
3. Bibby, C., Reid, I.D.: Robust real-time visual tracking using pixel-wise posteriors. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 831-844. Springer, Heidelberg (2008)
4. Bibby, C., Reid, I.: Real-time tracking of multiple occluding objects using level sets. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1307-1314. IEEE (2010)
5. Blais, G., Levine, M.D.: Registering multiview range data to create 3d computer objects. IEEE Transactions on Pattern Analysis and Machine Intelligence 17(8), 820-824 (1995)
6. Chen, Y., Medioni, G.: Object modelling by registration of multiple range images. Image and vision computing 10(3), 145-155 (1992)
7. Cremers, D., Rousson, M., Deriche, R.: A review of statistical approaches to level set segmentation: integrating color, texture, motion and shape. International Journal of Computer Vision 72(2), 195-215 (2007)
8. Curless, B., Levoy, M.: A volumetric method for building complex models from range images. In: Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, pp. 303-312. ACM (1996)
9. Dame, A., Prisacariu, V.A., Ren, C.Y., Reid, I.: Dense reconstruction using 3d object shape priors. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1288-1295. IEEE (2013)
10. Izadi, S., Kim, D., Hilliges, O., Molyneaux, D., Newcombe, R., Kohli, P., Shotton, J., Hodges, S., Freeman, D., Davison, A., et al.: Kinectfusion: real-time 3d reconstruction and interaction using a moving depth camera. In: Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, pp. 559-568. ACM (2011)
11. Li, C., Xu, C., Gui, C., Fox, M.D.: Distance regularized level set evolution and its application to image segmentation. IEEE Transactions on Image Processin 19(12), 3243-3254 (2010)
12. Meilland, M., Comport, A.I.: Super-resolution 3d tracking and mapping. In: 2013 IEEE International Conference on Robotics and Automation (ICRA), pp. 5717-5723. IEEE (2013)
13. Newcombe, R.A., Davison, A.J.: Live dense reconstruction with a single moving camera. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1498-1505. IEEE (2010)
14. Newcombe, R.A., Davison, A.J., Izadi, S., Kohli, P., Hilliges, O., Shotton, J., Molyneaux, D., Hodges, S., Kim, D., Fitzgibbon, A.: Kinectfusion: Real-time dense surface mapping and tracking. In: 2011 10th IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 127-136. IEEE (2011)
15. Newcombe, R.A., Lovegrove, S.J., Davison, A.J.: Dtam: Dense tracking and mapping in real-time. In: 2011 IEEE International Conference on Computer Vision (ICCV), pp. 2320-2327. IEEE (2011)
16. Prisacariu, V.A., Reid, I.D.: Pwp3d: Real-time segmentation and tracking of 3d objects. International Journal of Computer Vision 98(3), 335-354 (2012)
17. Ren, C.Y., Prisacariu, V., Murray, D., Reid, I.: Star3d: Simultaneous tracking and reconstruction of 3d objects using rgb-d data
18. Rusu, R.B., Blodow, N., Marton, Z.C., Beetz, M.: Close-range scene segmentation and reconstruction of 3d point cloud maps for mobile manipulation in domestic environments. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009. pp. 1-6. IEEE (2009)
19. Salas-Moreno, R.F., Newcombe, R.A., Strasdat, H., Kelly, P.H., Davison, A.J.: Slam++: Simultaneous localisation and mapping at the level of objects. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1352-1359. IEEE (2013)
20. Sibley, G., Keivan, N., Patron-Perez, A., Murphy, L., Lovegrove, S., Mamo, V.: Scalable perception and planning based control. In: International Symposium on Robotics Research (2013)
21. Teh, C.H., Chin, R.T.: On the detection of dominant points on digital curves. IEEE Transactions on Pattern Analysis and Machine Intelligence 11(8), 859-872 (1989)
22. Whelan, T., Johannsson, H., Kaess, M., Leonard, J.J., McDonald, J.: Robust tracking for real-time dense rgb-d mapping with kintinuous (2012)
23. Zhou, Q.Y., Miller, S., Koltun, V.: Elastic fragments for dense scene reconstruction. Environments 27(16), 7-35