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NTIS 바로가기Robotics and autonomous systems, v.62 no.4, 2014년, pp.414 - 421
Azartash, H. , Banai, N. , Nguyen, T.Q.
In this paper, we propose a novel method to accurately estimate the arbitrary motion of a calibrated stereo rig from a noisy sequence. In the proposed method, a projective camera model is used which is appropriate for scenes where the objects are close to the camera or where there is depth variation...
Robot. Auton. Syst. Davison 36 4 171 2001 10.1016/S0921-8890(01)00141-5 Sequential localization and map building for real time computer vision and robotics
Trans. ASME D Kalman 82 35 1960 10.1115/1.3662552 A new approach to linear filtering and prediction problems
Commun. ACM Fischler 24 6 381 1981 10.1145/358669.358692 Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
http://vision.middlebury.edu/stereo/.
J. Intell. Robot. Syst. Bonin-Font 53 3 263 2008 10.1007/s10846-008-9235-4 Visual navigation for mobile robots: a survey
T. Suzuki, T. Kanade, Measurement of vehicle motion and orientation using optical flow, in: ICITS, 1999, pp. 25-30.
N. Komodakis, G. Tziritas, Robust 3D motion estimation and depth layering, in: ICITS, 1997, pp. 425-428.
L.-P. Morency, T. Darrell, Stereo tracking using ICP and normal flow constraint, in: ICPR, 2002, pp. 367-372.
S.B. Goldberg, M.W. Maimone, L. Mathies, Stereo vision and rover navigation software for planetary exploration, in: Proc. AC, 2002, pp. 2025-2036.
J. Mach. Vision Appl. Nister 16 5 321 2005 10.1007/s00138-005-0006-y Preemptive RANSAC for live structure and motion estimation
D. Nister, O. Naroditsky, J. Bergen, Visual odometry, in: Proc. CVPR, 2004, pp. 652-659.
IEEE Trans. Pattern Anal. Mach. Intell. Young 12 8 735 1990 10.1109/34.57666 3-D motion estimation using a sequence of noisy stereo images: models, estimation, and uniqueness results
CVGIP: Image Underst. Lee 54 2 244 1991 10.1016/1049-9660(91)90066-X A Kalman filter approach for accurate 3-D motion estimation from a sequence of stereo images
IEEE Trans. Pattern Anal. Mach. Intell. Broida 8 90 1986 10.1109/TPAMI.1986.4767755 Estimation of object motion parameters from noisy images
H. Hirschmuller, P.R. Innocent, J.M. Garibaldi, Fast, unconstrained camera motion estimation from stereo without tracking and robust statistics, in: Proc. ICARCV, 2002, pp. 1099-1104.
Intell. Auton. Syst. Santos-Victor 1995 Visual-based obstacle detection a purposive approach using the normal flow
A. Talukder, L. Matthies, Real-time detection of moving objects from moving vehicles using dense stereo and optical flow, in: Proc. IROS, 2004, pp. 3718-3725.
Pattern Recognit. Soc. Goldgof 25 3 271 1992 10.1016/0031-3203(92)90110-5 Matching and motion estimation of three-dimensional point and line sets using eigenstructure without correspondences
Nature Longuet-Higgins 293 5828 133 1981 10.1038/293133a0 A computer algorithm for reconstructing a scene from two projections
Ma 2003 An Invitation to 3D Vision from Images to Geometric Models
Haykin 2001 Adaptive Filter Theory
Comput. Vision Image Underst. Bay 346 2008 10.1016/j.cviu.2007.09.014 Speeded up robust features (SURF)
M. Muja, D. Lowe, Fast approximate nearest neighbors with automatic algorithm configuration, in: ICCVTA, 2009, pp. 331-340.
Haykin 2002 IEEE Tran. on Pattern Analysis and Machine Intelligence Adaptive filter theory
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