Toward High Resolution, Ladar-Quality 3-D World Models Using Ladar-Stereo Data Integration and Fusion
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[1] Olga Veksler,et al. Fast approximate energy minimization via graph cuts , 2001, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[2] Vladimir Kolmogorov,et al. Generalized Multi-camera Scene Reconstruction Using Graph Cuts , 2003, EMMCVPR.
[3] L. Davis,et al. Window-based, discontinuity preserving stereo , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[4] Takeo Kanade,et al. A Cooperative Algorithm for Stereo Matching and Occlusion Detection , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[5] Olga Veksler,et al. A New Algorithm for Energy Minimization with Discontinuities , 1999, EMMCVPR.
[6] Stefan Scherer,et al. The discriminatory power of ordinal measures - towards a new coefficient , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[7] Reinhard Koch,et al. A simple and efficient rectification method for general motion , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[8] Long Quan,et al. Region-based progressive stereo matching , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[9] Shigeru Kimura,et al. A convolver-based real-time stereo machine (SAZAN) , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[10] Aggelos K. Katsaggelos,et al. Disparity estimation with modeling of occlusion and object orientation , 1998, Electronic Imaging.
[11] Olga Veksler,et al. Fast variable window for stereo correspondence using integral images , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[12] Vladimir Kolmogorov,et al. An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision , 2004, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Li Hong,et al. Segment-based stereo matching using graph cuts , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[14] Tommy Chang,et al. Fusing Ladar and Color Image Information for Mobile Robot Feature Detection and Tracking , 2002 .
[15] Ray Jarvis,et al. 3D Vision for Large-Scale Outdoor Environments , 2002 .
[16] Vladimir Kolmogorov,et al. Multi-camera Scene Reconstruction via Graph Cuts , 2002, ECCV.
[17] J.K. Aggarwal,et al. Computing stereo correspondences in the presence of narrow occluding objects , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[18] Ramesh C. Jain,et al. Using Dynamic Programming for Solving Variational Problems in Vision , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[19] Heiko Hirschmüller,et al. Improvements in real-time correlation-based stereo vision , 2001, CVPR 2001.
[20] Sang Hwa Lee,et al. Hierarchical stochastic diffusion for disparity estimation , 2001, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001).
[21] Olga Veksler,et al. Stereo matching by compact windows via minimum ratio cycle , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[22] Shree K. Nayar,et al. Ordinal Measures for Image Correspondence , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[23] Emanuele Trucco,et al. Introductory techniques for 3-D computer vision , 1998 .
[24] Reinhard Männer,et al. Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation , 2004, International Journal of Computer Vision.
[26] Carlo Tomasi,et al. Surfaces with occlusions from layered stereo , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Darius Burschka,et al. Advances in Computational Stereo , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[28] William F. Oberle,et al. LADAR-Camera Registration Using Object Pose and Camera Calibration Algorithms , 2004 .
[29] Mongi A. Abidi,et al. Data fusion in robotics and machine intelligence , 1992 .
[30] Richard Szeliski,et al. High-accuracy stereo depth maps using structured light , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[31] Paulo Dias,et al. Fusion of intensity and range data for improved 3D models , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).
[32] D. L. Hall,et al. Mathematical Techniques in Multisensor Data Fusion , 1992 .
[33] Volker Graefe,et al. Machine Vision for Intelligent Robots , 1998, MVA.
[34] Olga Veksler,et al. Markov random fields with efficient approximations , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[35] Kevin Nickels,et al. Fusion of Lidar and Stereo Range for Mobile Robots , 2003 .
[36] O. Faugeras. Three-dimensional computer vision: a geometric viewpoint , 1993 .
[37] Larry S. Davis,et al. Uncalibrated stereo rectification for automatic 3D surveillance , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..
[38] Mark D. Elstrom. A STEREO-BASED TECHNIQUE FOR THE REGISTRATION OF COLOR AND LADAR IMAGES , 1998 .
[39] William F. Oberle,et al. Three-Dimensional Stereo Reconstruction and Sensor Registration with Application to the Development of a Multi-Sensor Database , 2002 .
[40] Nicu Sebe,et al. Toward Improved Ranking Metrics , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[41] Peter I. Corke,et al. Quantitative Evaluation of Matching Methods and Validity Measures for Stereo Vision , 2001, Int. J. Robotics Res..
[42] Juliang Shao. Combination of stereo, motion and rendering for 3D footage display , 2001, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001).
[43] Richard Szeliski,et al. A layered approach to stereo reconstruction , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[44] Vladimir Kolmogorov,et al. What energy functions can be minimized via graph cuts? , 2002, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[45] D. Scharstein,et al. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms , 2001, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001).
[46] Richard Szeliski,et al. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms , 2001, International Journal of Computer Vision.
[47] Margrit Gelautz,et al. A layered stereo algorithm using image segmentation and global visibility constraints , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..
[48] Ronald L. Rivest,et al. Introduction to Algorithms , 1990 .
[49] Aggelos K. Katsaggelos,et al. Dense Disparity Estimation with a Divide-and-Conquer Disparity Space Image Technique , 1999, IEEE Trans. Multim..
[50] Vladimir Kolmogorov,et al. Computing visual correspondence with occlusions using graph cuts , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[51] Richard Szeliski,et al. Layered depth images , 1998, SIGGRAPH.
[52] Ingemar J. Cox,et al. A maximum-flow formulation of the N-camera stereo correspondence problem , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[53] Larry S. Davis,et al. Model-based object pose in 25 lines of code , 1992, International Journal of Computer Vision.
[54] H. Mayer. ANALYSIS OF MEANS TO IMPROVE COOPERATIVE DISPARITY ESTIMATION , 2003 .
[55] Panos Liatsis,et al. A collective-based adaptive symbiotic model for surface reconstruction in area-based stereo , 2003, IEEE Trans. Evol. Comput..
[56] Charles T. Loop,et al. Computing rectifying homographies for stereo vision , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[57] Nanning Zheng,et al. Stereo Matching Using Belief Propagation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[58] Carlo Tomasi,et al. Multiway cut for stereo and motion with slanted surfaces , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[59] Changming Sun,et al. Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques , 2002, International Journal of Computer Vision.
[60] Carlo Tomasi,et al. Depth Discontinuities by Pixel-to-Pixel Stereo , 1999, International Journal of Computer Vision.