Predictors for Motion Estimation

[1]  David G. Lowe,et al.  Scene modelling, recognition and tracking with invariant image features , 2004, Third IEEE and ACM International Symposium on Mixed and Augmented Reality.

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

[3]  Simon Baker,et al.  Lucas-Kanade 20 Years On: A Unifying Framework , 2004, International Journal of Computer Vision.

[4]  Andrew Blake,et al.  Sparse Bayesian learning for efficient visual tracking , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Michel Dhome,et al.  Real Time Robust Template Matching , 2002, BMVC.

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

[7]  Jiri Matas,et al.  Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..

[8]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[9]  Vincent Lepetit,et al.  Randomized trees for real-time keypoint recognition , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[10]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.