Radim Sara: Selected Papers

  1. Faint Streak Detection with Certificate by Adaptive Multi-Level Bayesian Inference. Sara, R. and Cvrcek, V. Proc 7th European Conference on Space Debris. April 2017. [preprint, PDF]
  2. Spatial Pattern Templates for Recognition of Objects with Regular Structure. Tylecek, R. and Sara, R. Proc German Pattern Recognition Conference. September 2013. [preprint, PDF]
  3. RANSACing Optical Image Sequences for GEO and near-GEO Objects. Sara, R. and Matousek, M. and Franc V. Proceedings of the Advanced Maui Optical and Space Surveillance Technologies Conference. August 2013. [PDFposter]
  4. Collision Mitigation for Crossing Traffic in Urban Scenarios. Heck, P. et al. Proc IEEE Intelligent Vehicles Symposium. June 2013. [preprint, PDF]
  5. Stochastic Recognition of Regular Structures in Facade Images. Tylecek, R. and Sara, R. IPSJ Transactions on Computer Vision and Applications. 4:63-70, May 2012. [preprint, PDF] [DOI]
  6. Modeling Symmetries for Stochastic Structural Recognition. Tylecek, R. and Sara, R. In Proc ICCV Workshop on Stochastic Image Grammars. November 2011. [PDF]
  7. Real-Time Global Prediction for Temporally Stable Stereo. Dobias, M. and Sara, R. In Proc ICCV Workshop on Live Dense Reconstruction from Moving Cameras, November 2011 [PDF]
  8. A Weak Structure Model for Regular Pattern Recognition Applied to Facade Images. Tylecek, R. and Sara, R. In Proc ACCV. November 2010. [PDF]
  9. How To Teach Stereoscopic Matching? Sara, R. Proceedings 52th International Symposium ELMAR-2010, September 2010 [PDF]
  10. Refinement of Surface Mesh for Accurate Multi-View Reconstruction. Tylecek, R. and Sara, R. International Journal of Virtual Reality 9(1):45-54. 2010 [preprint]
  11. Languages for Constrained Binary Segmentation Based on Maximum A Posteriori Probability Labeling. Cech, J. and Sara, R. International Journal of Imaging Systems and Technology 19(2):69-79, June 2009. [preprint]
  12. Fairing of Discrete Surfaces with Boundary That Preserves Size and Qualitative Shape. Kostliva, J. and Sara, R. and Matyskova, M. In Proc ISVC: International Symposium on Visual Computing, pp. 107-118. 2008. [PDF]
  13. A Robust Graph-Based Method for The General Correspondence Problem Demonstrated on Image Stitching. Bujnak, M. and Sara, R. In Proc ICCV: IEEE International Conference on Computer Vision 2007. [PDF]
  14. Feasibility Boundary in Dense and Semi-Dense Stereo Matching. Kostliva, J. and Cech, J. and Sara, R. In Proc BenCOS: CVPR Workshop Towards Benchmarking Automated Calibration, Orientation and Surface Reconstruction from Images, 2007. [PDF]
  15. Efficient Sampling of Disparity Space for Fast And Accurate Matching. Cech, J. and Sara, R. In Proc BenCOS: CVPR Workshop Towards Benchmarking Automated Calibration, Orientation and Surface Reconstruction from Images, 2007. [preprint]
  16. Graph-based Range Image Registration Combining Geometric and Photometric Features. Shimizu, I. and Sugimoto, A. and Sara, R. In Proc SCIA: Proceedings Scandinavian Conference on Image Analysis, LNCS 4522, pp. 542-552. 2007. [preprint]
  17. FAIR: Towards A New Feature for Affinely-Invariant Recognition. Sara, R. and Matousek, M. In Proc ICPR Hong-Kong. 2006. [Preprint]
  18. Robust Correspondence Recognition for Computer Vision. Sara, R. In Proc COMPSTAT, 17th Conference of IASC-ERS Roma, Italy. 2006. [Preprint]
  19. Complex Correlation Statistic for Dense Stereoscopic Matching. Cech, J. and Sara, R. In Proc Scandinavian Conference on Image Analysis, Joensuu, Finland, 2005 [Preprint]
  20. Globally Convergent Range Image Registration by Graph Kernel Algorithm. Sara, R and Okatani, I.S. and Sugimoto, A. In Proc 5th International Conference on 3-D Digital Imaging and Modeling 2005. [Preprint | Presentation]
  21. Towards Complete Free-Form Reconstruction of Complex 3D Scenes from an Unordered Set of Uncalibrated Images. Cornelius, H. and Sara, R. and Martinec, D. and Pajdla, T. and Chum, O. and Matas, J. In Proc ECCV Workshop Statistical Methods in Video Processing 2004. [Preprint]
  22. Radiometric Calibration of a Helmholtz Stereo Rig. Janko, Z. and Drbohlav, O. and Sara, R. In Proceedings CVPR, pp. 166-171, 2004. [PDF]
  23. Helmholtz Stereopsis on rough and strongly textured surfaces. Guillemaut, J.-Y. and Drbohlav, O. and Sara, R. and Illingworth, J. In 3DPVT'04: Proceedings of the 2nd International Symposium on 3D Data Processing, Visualization, and Transmission, pp. 10-17, 2004. [PDF]
  24. Data-Optimal Rectification for Fast and Accurate Stereovision. Matousek, M. and Sara, R. and Hlavac, V. In Proc 3rd Int Conf on Image and Graphics, pp. 212-215, 2004. [PDF]
  25. Image Texture Analysis of Sonograms in Chronic Inflammations of Thyroid Gland. Smutek, D. and Sara, R. and Sucharda, P. and Tjahjadi, T. and Svec, M. Ultrasound in Medicine and Biology 29(11):1531-1543, 2003.
  26. A Linear Trinocular Rectification Method for Accurate Stereoscopic Matching. Zhang, H. and Cech, J. and Sara, R. and Wu, F. and Hu, Z. In Proceedings BMVC, pp. 281-290, 2003. [PDF]
  27. Stratified Dense Matching for Stereopsis in Complex Scenes. Kostkova, J. and Sara, R. In Proceedings BMVC, pp. 339-348, 2003. [PDF]
  28. Dense Stereomatching Algorithm Performance for View Prediction and Structure Reconstruction. Kostkova, J. and Cech, J. and Sara, R. In Proceedings 13th SCIA Springer LNCS Vol 2749, pp. 101-107, 2003. [PDF]
  29. A Method for Obtaining 3-Dimensional Facial Expressions and its Standardization for Use in Neurocognitive studies Gur, R.C. and Sara, R. and Hagendoorn, M. and Marom, O. and Hughett, P. and Macy, L. and Turner, T. and Bajcsy, R. and Posner, A. and Gur, R.E. Journal of Neuroscience Methods 115(2):137-143, April 2002.
  30. Specularities reduce ambiguity of uncalibrated photometric stereo. Drbohlav, O. and Sara, R. In Proceedings 7th ECCV Springer LNCS Vol 2351, pp. 46-60, 2002. [PDF]
  31. Finding the Largest Unambiguous Component of Stereo Matching. R. Sara. In Proceedings 7th European Conference on Computer Vision (ECCV2002) vol. 2, pp. 900-914, Springer-Verlag LNCS 2352, May 2002.   [Corrected paper, color version [PDF],  Abstract+Paper (Springer)]
  32. A Fast Algorithm for Confidently Stable Matching. R. Sara. Research Report CTU-CMP-2002-03, Center for Machine Perception, Czech Technical University, February 2002. [Sara-TR-2002-03.pdf]
  33. Sigma-Delta Stable Matching for Computational Stereopsis. R. Sara. Research Report CTU-CMP-2001-25, Center for Machine Perception, Czech Technical University, September 2001. [Sara-TR-2001-25.pdf, 10MB]
  34. Unambiguous determination of shape from photometric stereo with unknown light sources Drbohlav, O. and Sara, R. In Proc 8th ICCV pp. 581-586, July 2001. [PDF]
  35. Systematic Construction of Texture Features for Hashimoto's Lymphocytic Thyroiditis Recognition from Sonographic Images.R. Sara, D. Smutek, P. Sucharda and S. Svacina. In Proceedings Artificial Intelligence in Medicine (AIME'01) pp. 339-348, Springer Verlag LNAI 2101, July 2001. [Paper (c) Springer Verlag,  Presentation]
  36. Accurate Natural Surface Reconstruction from Polynocular Stereo. R. Sara. In Proc. NATO Advanced Research Workshop Confluence of Computer Vision and Computer Graphics pp.69-86, Kluwer Academic Publishers, 2000.   [PostScript, 3.3MB, gnu-zipped]
  37. The Class of Stable Matchings for Computational Stereo. R. Sara. Research Report CTU-CMP-1999-22, Center for Machine Perception, Czech Technical University, November 1999. [Sara-TR-1999-22.pdf, 2.5MB]
  38. 3-D Data Acquisition and Interpretation for Virtual Reality and Telepresence. R. Sara, R. Bajcsy, G. Kamberova, and R. A. McKendall. Proc. IEEE Workshop Computer Vision for Virtual Reality Based Human Communications. pp. 88-93, Bombay, India, January 1998.
    [PostScript, 3MB, gnu-zipped]
  39. Fish-Scales: Representing Fuzzy Manifolds. R. Sara and R. Bajcsy. Proc. IEEE Conf. ICCV '98, pp. 811-817, Bombay, India, January 1998.
    [PostScript, 8.7MB, gnu-zipped] [PostScript text, 46kB, gnu-gzipped]
  40. On Occluding Contour Artifacts in Stereo Vision R. Sara and R. Bajcsy. Proc. IEEE Conf. CVPR '97, pp. 852-857. San Juan, PR, June 1997 [PostScript, 300kB, gnu-zipped]
  41. Isophotes: the Key to Tractable Local Shading Analysis R. Sara Proc. Int. Conf. CAIP'95, pp. 416-423. [PostScript, 230kB, gnu-zipped]
  42. Local Shading Analysis via Isophotes Properties R. Sara PhD Thesis, Johannes Kepler University, Linz, Austria, 142 pp. March 1994. [PostScript, 1.7Mb, gnu-zipped]

Radim Sara