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Analysis on a Local Approach to 3D Object Recognition.

, , , and . DAGM-Symposium, volume 4174 of Lecture Notes in Computer Science, page 253-262. Springer, (2006)

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Satellite image registration for attitude estimation with a constrained polynomial model., , , and . ICIP, page 925-928. IEEE, (2010)Estimation of an Observation Satellite's Attitude Using Multimodal Pushbroom Cameras., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 37 (5): 987-1000 (2015)Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods., and . Int. J. Comput. Vis., 74 (1): 75-102 (2007)Making the best use of permutations to compute sensitivity indices with replicated orthogonal arrays., , , and . Reliab. Eng. Syst. Saf., (2019)Estimating satellite attitude from pushbroom sensors., , , and . CVPR, page 591-598. IEEE Computer Society, (2010)An efficient Rao-Blackwellized particle filter for object tracking., and . ICIP (2), page 426-429. IEEE, (2005)Inverse Kinematics Using Sequential Monte Carlo Methods., and . AMDO, volume 5098 of Lecture Notes in Computer Science, page 1-10. Springer, (2008)Trains of keypoints for 3D object recognition., , and . ICPR (2), page 1014-1017. IEEE Computer Society, (2006)A robust and automatic face tracker dedicated to broadcast videos., , , and . ICIP (3), page 429-432. IEEE, (2005)Optimal Importance Sampling for Tracking in Image Sequences: Application to Point Tracking., and . ECCV (3), volume 3023 of Lecture Notes in Computer Science, page 302-314. Springer, (2004)