CHAPTER 5 – Video Stabilization and Mosaicing

[1]  Nikolas P. Galatsanos,et al.  Super-Resolution Based on Fast Registration and Maximum a Posteriori Reconstruction , 2007, IEEE Transactions on Image Processing.

[2]  Amir Averbuch,et al.  Multisensor image registration via implicit similarity , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Shmuel Peleg,et al.  Seamless image stitching by minimizing false edges , 2006, IEEE Transactions on Image Processing.

[4]  Sanjiv Singh,et al.  Motion Estimation from Image and Inertial Measurements , 2004, Int. J. Robotics Res..

[5]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[6]  M. Srinivasan,et al.  Visual motor computations in insects. , 2004, Annual review of neuroscience.

[7]  Harry Shum,et al.  Correction to Construction of Panoramic Image Mosaics with Global and Local Alignment , 2001, International Journal of Computer Vision.

[8]  Richard Szeliski,et al.  Systems and Experiment Paper: Construction of Panoramic Image Mosaics with Global and Local Alignment , 2000, International Journal of Computer Vision.

[9]  Takeo Kanade,et al.  Shape and motion from image streams under orthography: a factorization method , 1992, International Journal of Computer Vision.

[10]  Allen M. Waxman,et al.  Closed-form solutions to image flow equations for 3D structure and motion , 1988, International Journal of Computer Vision.

[11]  C. David Compensation for height in the control of groundspeed byDrosophila in a new, ‘barber's pole’ wind tunnel , 1982, Journal of comparative physiology.

[12]  Jorge Dias,et al.  Vision and Inertial Sensor Cooperation Using Gravity as a Vertical Reference , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Shmuel Peleg,et al.  Robust super-resolution , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[14]  Heinrich H. Bülthoff,et al.  Insect Inspired Visual Control of Translatory Flight , 2001, ECAL.

[15]  Rama Chellappa,et al.  Structure from Motion Using Sequential Monte Carlo Methods , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[16]  Shmuel Peleg,et al.  Mosaicing on Adaptive Manifolds , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  Chandra Shekhar Semi-automatic video-to-site registration for aerial monitoring , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[18]  Max A. Viergever,et al.  Image registration by maximization of combined mutual information and gradient information , 2000, IEEE Transactions on Medical Imaging.

[19]  J. Farrell,et al.  The global positioning system and inertial navigation , 1999 .

[20]  Amnon Shashua,et al.  Threading Fundamental Matrices , 1998, ECCV.

[21]  Shmuel Peleg,et al.  Universal mosaicing using pipe projection , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[22]  P. Anandan,et al.  Robust multi-sensor image alignment , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[23]  R. Chellappa,et al.  Fast 3D stabilization and mosaic construction , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[24]  Shmuel Peleg,et al.  Panoramic mosaics by manifold projection , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[25]  John Weston,et al.  Strapdown Inertial Navigation Technology , 1997 .

[26]  Rama Chellappa,et al.  Fast Electronic Digital Image Stabilization for Off-Road Navigation , 1996, Real Time Imaging.

[27]  Rama Chellappa,et al.  Selective stabilization of images acquired by unmanned ground vehicles , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[28]  Esch,et al.  Distance estimation by foraging honeybees , 1996, The Journal of experimental biology.

[29]  Zhang,et al.  Honeybee navigation en route to the goal: visual flight control and odometry , 1996, The Journal of experimental biology.

[30]  Laveen N. Kanal,et al.  3-D Motion Estimation from Motion Field , 1995, Artif. Intell..

[31]  P. Anandan,et al.  Mosaic based representations of video sequences and their applications , 1995, Proceedings of IEEE International Conference on Computer Vision.

[32]  A. Mitiche Computational Analysis of Visual Motion , 1994, Advances in Computer Vision and Machine Intelligence.

[33]  Edward H. Adelson,et al.  Representing moving images with layers , 1994, IEEE Trans. Image Process..

[34]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[35]  O. Faugeras Three-Dimensional Computer Vision , 1993 .

[36]  Thomas S. Huang,et al.  Motion and Structure from Image Sequences , 1992 .

[37]  Xinhua Zhuang,et al.  A simplified linear optic flow-motion algorithm , 1988, Comput. Vis. Graph. Image Process..

[38]  Allen M. Waxman,et al.  Surface Structure and Three-Dimensional Motion from Image Flow Kinematics , 1985 .

[39]  Gilad Adiv,et al.  Determining Three-Dimensional Motion and Structure from Optical Flow Generated by Several Moving Objects , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[40]  Thomas S. Huang,et al.  Estimating three-dimensional motion parameters of a rigid planar patch , 1981 .

[41]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[42]  H. C. Longuet-Higgins,et al.  The interpretation of a moving retinal image , 1980, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[43]  W. Reichardt Movement perception in insects , 1969 .