Structure from Motion with Line Segments Under Relaxed Endpoint Constraints

• Agarwal, S., Mierle, K. et al. (2010). Ceres Solver. http://www.ceres-solver.org.

• Agarwal, S., Furukawa, Y., Snavely, N., Simon, I., Curless, B., Seitz, M. S., et al. (2011). Building Rome in a day. Commununications of ACM, 54(10), 105–112.

  Article  Google Scholar 

• Ansar, A., & Daniilidis, K. (2002). Linear pose estimation from points or lines. In Proceedings of the European Conference on Computer Vision (ECCV).

• Antone, M. E., & Teller, S. J. (2000). Automatic recovery of relative camera rotations for urban scenes. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 2282–2289).

• Barrow, H. G., Tenenbaum, J. M., Bolles, R. C., & Wolf, H. C. (1977). Parametric correspondence and chamfer matching: Two new techniques for image matching. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) (pp. 659–663).

• Bartoli, A., & Sturm, P. (2005). Structure-from-motion using lines: Representation, triangulation, and bundle adjustment. Computer Vision and Image Understanding (CVIU), 100(3), 416–441.

  Article  Google Scholar 

• Bay, H., Ferrari, V., & Van Gool, L. (2005). Wide-baseline stereo matching with line segments. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 329–336).

• Bazin, J. C., & Pollefeys, M. (2012). 3-line ransac for orthogonal vanishing point detection. In Proceedings of the International Conference on Intelligent Robots and Systems (IROS) (pp. 4282–4287).

• Bazin, J. C., Demonceaux, C., Vasseur, P., & Kweon, I. (2010). Motion estimation by decoupling rotation and translation in catadioptric vision. Computer Vision and Image Understanding (CVIU), 114(2), 254–273.

  Article  Google Scholar 

• Burns, J. B., Hanson, A. R., & Riseman, E. M. (1986). Extracting straight lines. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 8(4), 425–455.

  Article  Google Scholar 

• Chen, H. (1991). Pose determination from line-to-plane correspondences: Existence condition and closed-form solutions. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 13(6), 530–541.

  Article  Google Scholar 

• Davison, A. J., Reid, I. D., Molton, N., & Stasse, O. (2007). Monoslam: Real-time single camera SLAM. IEEE Trans Pattern Anal Mach Intell, 29(6), 1052–1067.

  Article  Google Scholar 

• Deriche, R., & Faugeras, O. (1990). Tracking line segments. In Proceedings of the European Conference on Computer Vision (ECCV).

• Elqursh, A., & Elgammal, A. M. (2011). Line-based relative pose estimation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

• Fan, B., Wu, F., & Hu, Z. (2010). Line matching leveraged by point correspondences. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 390–397).

• Faugeras, O., Lustman, F., & Toscani, G. (1987). Motion and structure from motion from point and line matches. In Proceedings of the International Conference on Computer Vision (ICCV).

• Geyer, C., & Daniilidis, K. (2001). Catadioptric projective geometry. International Journal of Computer Vision (IJCV), 45(3), 223–243.

  Article  MATH  Google Scholar 

• Hartley, R. (1997). Lines and points in three views and the trifocal tensor. International Journal of Computer Vision (IJCV), 22(2), 125–140.

  Article  Google Scholar 

• Hartley, R., & Zisserman, A. (2000). Multiple view geometry in computer vision. Cambridge: Cambridge University Press.

  MATH  Google Scholar 

• Hartley, R. I., Trumpf, J., Dai, Y., & Li, H. (2013). Rotation averaging. International Journal of Computer Vision (IJCV), 103(3), 267–305.

  Article  MathSciNet  MATH  Google Scholar 

• Hirose, K., & Saito, H. (2012). Fast line description for line-based SLAM. In Proceedings of the Britisch Machine Vision Conference (BMVC).

• Hofer, M., Wendel, A., & Bischof, H. (2013). Incremental line-based 3D reconstruction using geometric constraints. In Proceedings of the Britisch Machine Vision Conference (BMVC).

• Huynh, D. Q. (2009). Metrics for 3d rotations: Comparison and analysis. Journal of Mathematical Imaging and Vision, 35(2), 155–164.

  Article  MathSciNet  Google Scholar 

• Jain, A., Kurz, C., Thormählen, T., & Seidel, H.P. (2010). Exploiting global connectivity constraints for reconstruction of 3d line segments from images. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

• Jiang, N., Cui, Z., & Tan, P. (2013). A global linear method for camera pose registration. In Proceedings of the International Conference on Computer Vision (ICCV).

• Liu, Y., & Huang, T. S. (1988a). Estimation of rigid body motion using straight line correspondences. Computer Vision, Graphics, and Image Processing (CVGIP), 43(1), 35–52.

  Article  Google Scholar 

• Liu, Y., & Huang, T. S. (1988b). A linear algorithm for motion estimation using straight line correspondences. Computer Vision, Graphics, and Image Processing (CVGIP), 44(1), 35–57.

  Article  Google Scholar 

• Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision (IJCV), 60(2), 91–110.

  Article  Google Scholar 

• Martinec, D., & Pajdla, T. (2003). Line reconstruction from many perspective images by factorization. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

• Micusik, B., & Pajdla, T. (2006). Structure from motion with wide circular field of view cameras. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 28(7), 1135–1149.

  Article  Google Scholar 

• Micusik, B., & Wildenauer, H. (2015). Descriptor free visual indoor localization with line segments. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

• Morris, D. D., & Kanade, T. (1998). A unified factorization algorithm for points, line segments and planes with uncertainty models. In Proceedings of the International Conference on Computer Vision (ICCV) (pp. 696–702).

• Rother, C. (2003). Multi-view reconstruction and camera recovery using a real or virtual reference plane. PhD thesis, KTH.

• Schindler, G., Krishnamurthy, P., & Dellaert, F. (2006). Line-based structure from motion for urban environments. In Proceedings of the International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT).

• Sinha, S. N., Steedly, D., & Szeliski, R. (2009). Piecewise planar stereo for image-based rendering. In Proceedings of the International Conference on Computer Vision (ICCV) (pp .1881–1888).

• Sinha, S. N., Steedly, D., & Szeliski, R. (2010). A multi-stage linear approach to structure from motion. In: Proceedings of the ECCV Workshop—Trends and Topics in Computer Vision (pp. 267–281).

• Smith, P., Reid, I., & Davison, A. (2006). Real-time monocular SLAM with straight lines. In Proceedings of the Britisch Machine Vision Conference (BMVC).

• Spetsakis, M. E. (1992). A linear algorithm for point and line-based structure from motion. Computer Vision, Graphics, and Image Processing: Image Understanding (CVGIPIU), 56(2), 230–241.

  MATH  Google Scholar 

• Strecha, C., von Hansen, W., Van Gool, L., Fua, P., & Thoennessen, U. (2008). On benchmarking camera calibration and multi-view stereo for high resolution imagery. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

• Subbarao, R., & Meer, P. (2009). Nonlinear mean shift over Riemannian manifolds. International Journal of Computer Vision (IJCV), 84(1), 1–20.

  Article  Google Scholar 

• Taylor, J. C., & Kriegman, J. D. (1995). Structure and motion from line segments in multiple images. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 17(11), 1021–1032.

  Article  Google Scholar 

• Verhagen, B., Timofte, R., & Gool, L. J. V. (2014). Scale-invariant line descriptors for wide baseline matching. In: IEEE Winter Conference on Applications of Computer Vision, Steamboat Springs, CO, USA, March 24–26, (pp. 493–500).

• VISCODA (2012). Voodoo camera tracker.

• Wang, L., Neumann, U., & You, S. (2009). Wide-baseline image matching using line signatures. In Proceedings of the International Conference on Computer Vision (ICCV).

• Weng, J., Huang, T., & Ahuja, N. (1992). Motion and structure from line correspondences; closed-form solution, uniqueness, and optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 14(3), 318–336.

  Article  Google Scholar 

• Weng, J., Huang, T., & Ahuja, N. (1993). Motion and structure from image sequences. Springer series in information sciences. Berlin: Springer.

  Book  Google Scholar 

• Werner, T., & Zisserman, A. (2002). New techniques for automated architectural reconstruction from photographs. In Proceedings of the European Conference on Computer Vision (ECCV).

• Wildenauer, H., & Hanbury, A. (2012). Robust camera self-calibration from monocular images of manhattan worlds. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 2831–2838).

• Wu, C. (2011). VisualSFM: A visual structure from motion system.

• Zhang, L., & Koch, R. (2014). Structure and motion from line correspondences: Representation, projection, initialization and sparse bundle adjustment. Elsevier Journal of Visual Communication and Image Representation (JVCIR), 25(5), 904–915.

  Article  Google Scholar 

• Zhang, Z. (1995). Estimating motion and structure from correspondences of line segments between two perspective images. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 17(12), 1129–1139.

  Article  Google Scholar 

• Zhang, Z. (1997). Parameter estimation techniques: A tutorial with application to conic fitting. Image and Vision Computing (IVC), 15(1), 59–76.

  Article  Google Scholar 

Download references