LU C.-P., HAGER G. D., MJOLSNESS E.: Fast and globally convergent pose estimation from video images. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 6 (2000), 610--622. 5, 8 Home/Search Document Details and Download
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Robust and Real-Time Image-Based . . . - Comport (Correct)
....of these different features [24] Another important issue is the registration problem. Purely geometric (eg, 9] or numerical and iterative [7] approaches may be considered. Linear approaches use a least squares method to estimate the pose. Full scale non linear optimization techniques (e.g. [20, 22, 10]) consists of minimizing the error between the observation and the forward projection of the model. In this case, minimization is handled using numerical iterative algorithms such as Newton Raphson or Levenberg Marquartd. The main advantage of these approaches are their accuracy. The main drawback ....
C.P. Lu, G.D. Hager, and E. Mjolsness. Fast and globally convergent pose estimation from video images. IEEE trans on Pattern Analysis and Machine Intelligence, 22(6):610--622, June 2000.
An Inexpensive, Automatic and Accurate Camera Calibration.. - Forbes, Voigt, Bodika (2002) (Correct)
....images that contain a sufficient number of visible control points. This means that up to m estimates are available for each of the n focal lengths. The median of the focal length estimates is used as the starting point focal length value for each camera. The pose estimation algorithm of Lu et al. [6] is used to estimate the object poses. Firstly, the internal camera parameters are used to determine the normalised image coordinates of the observed control points. The normalised image coordinates are the X and Y coordinates of the position of corresponding rays in the Z # 1 plane. The radial ....
Chien-Ping Lu, Gregory D. Hager, and Eric Mjolsness. Fast and globally convergent pose estimation from video images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(6):610--622, June 2000.
Provably-Convergent Iterative Methods for Projective.. - Mahamud, Hebert.. (2001) (3 citations) (Correct)
....and the points converge, that the error converges to a local minimum, and that convergence to a solution is guaranteed irrespective of the starting points. The proof relies on a general result from optimization theory, the global convergence theorem, or GCT [10, Chapter 6] See, for example, [9] for its application to the study of the convergence of pose estimation algorithms in computer vision. The GCT represents algorithms as point to set mappings, that map each input value to a set of compatible outputs. Although it is often necessary to view an algorithm as a point to set mapping ....
C.P. Lu and G. Hager. Fast and globally convergent pose estimation from video images. PAMI, 22(2), 2000.
Planar Image Based Visual Servoing as a Navigation Problem - Cowan, Koditschek (1999) (9 citations) (Correct)
....on V [14] 5 Of course, as is usually the case in image based visual servoing, some information about the physical situation is needed to compute Dc, the Jacobian matrix of c. In practice, depth estimates may be computed by one of the many pose estimation algorithms, as found for example in [12]. 6 This choice is somewhat arbitrary and may be chosen freely up to the constraints listed. One might choose, for example ( 2 E 2 ) 6 2.2.2 Image Based Controller Since is a navigation function on V , the controller : q = u u = D q y ) T (17) renders V as ....
C.-P. Lu, G. D. Hager, and E. Mjolsness. Fast and globally convergent pose estimation from video images. Submitted, 1998.
VisHap: Augmented Reality Combining Haptics and Vision - Guangqi Ye Jason (2003) (1 citation) Self-citation (Hager) (Correct)
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C.-P. Lu, G. D. Hager, and Eric Mjolsness. Fast and globally convergent pose estimation from video images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(6):610--622, 2000.
VisHap: Augmented Reality Combining Haptics and Vision - Guangqi Ye Jason (2003) (1 citation) Self-citation (Hager) (Correct)
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C.-P. Lu, G. D. Hager, and Eric Mjolsness. Fast and globally convergent pose estimation from video images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(6):610--622, 2000.
Augmented Reality Combining Haptics and Vision - Ye, Corso, Hager, Okamura (2003) Self-citation (Hager) (Correct)
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C.-P. Lu, G. D. Hager, and Eric Mjolsness. Fast and globally convergent pose estimation from video images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(6):610--622, 2000.
Quadric Transfer for Immersive Curved Display - Rasker, van Baar, Willwacher (2004) (Correct)
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LU C.-P., HAGER G. D., MJOLSNESS E.: Fast and globally convergent pose estimation from video images. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 6 (2000), 610--622. 5, 8
iLamps: Geometrically Aware and Self-Configuring.. - Raskar, van Baar.. (2003) (4 citations) (Correct)
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LU, C., HAGER, G., AND MJOLSNESS, E. 2000. Fast and Globally Convergent Pose Estimation from Video Images. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 6, 610--622.
Low-Cost Multi-Projector Curved Screen Displays - Raskar, van Baar (2005) (Correct)
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Lu C.P., Hager G. D., Mjolsness E.: Fast and globally convergent pose estimation from video images. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 6 (2000), 610.622
The Design and Implementation of a Generic Sparse Bundle.. - Lourakis, Argyros (2004) (1 citation) (Correct)
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C.-P. Lu, G.D. Hager, and E. Mjolsness. Fast and Globally Convergent Pose Estimation from Video Images. IEEE Trans. on PAMI, 22(6):610-622, Jun. 2000.
Epipolar Constraints for Vision-Aided Inertial Navigation - Diel, DeBitetto, Teller (2005) (Correct)
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C.-P. Lu, G. D. Hager, and E. Mjolsness, "Fast and globally convergent pose estimation from video images," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 6, pp. 610-- 622, 2002.
Efficient, Causal Camera Tracking in Unprepared Environments - Lourakis, Argyros (2005) (Correct)
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C.-P. Lu, G. Hager, E. Mjolsness, Fast and globally convergent pose estimation from video images, IEEE Trans. Pattern Anal. Mach. Intell. 22 (6) (2000) 610--622.
Features Tracking For Visual Servoing Purpose - Marchand, Chaumette (2004) (1 citation) (Correct)
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C.P. Lu, G.D. Hager, and E. Mjolsness. Fast and globally convergent pose estimation from video images. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(6):610--622, June 2000.
A Real-Time Tracker For Markerless Augmented Reality - Comport, Marchand, Chaumette (2003) (Correct)
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C. Lu, G. Hager, and E. Mjolsness. Fast and globally convergent pose estimation from video images. IEEE trans on Pattern Analysis and Machine Intelligence, 22(6):610--622, June 2000.
A Flexible Software - Architecture For Hybrid (Correct)
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C.P. Lu, G.D. Hager, and E. Mjolsness, Fast and globally convergent pose estimation from video images, IEEE PAMI, 22:(6) (2000), 610--622.
Pose Estimation From a Two-Dimensional View Using.. - Castro, Frauel.. (2003) (Correct)
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C.-P. Lu, G. D. Hager, and E. Mjolsness, "Fast and globally convergent pose estimation from video images," IEEE Trans. Pattern Anal. Mach. Intell. 22, 610 -- 622 #2000#.
Pose Estimation Combining.. - Castro, Frauel.. (Correct)
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C.-P. Lu, G.D. Hager, E. Mjolsness, "Fast and globally convergent pose estimation from video images," IEEE Trans. on Pattern Anal. and Machine Intell. 22, pp. 610-622, 2000.
Object-based visual 3D tracking of articulated objects .. - Comport, Marchand.. (2004) (Correct)
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C. Lu, G. Hager, and E. Mjolsness. Fast and globally convergent pose estimation from video images. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(6):610--622, June 2000.
Pose Estimation Using Linear or Nonlinear Composite.. - Castro, Frauel.. (Correct)
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C.-P. Lu, G.D. Hager, E. Mjolsness, "Fast and globally convergent pose estimation from video images," IEEE Trans. on Pattern Anal. and Machine Intell. 22, pp. 610-622, 2000.
Complex Articulated Object Tracking - Andrew Comport Eric (2004) (Correct)
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Lu, C., Hager, G., Mjolsness, E.: Fast and globally convergent pose estimation from video images. IEEE Trans. on Pattern Analysis and Machine Intelligence 22 (2000) 610--622 190
Robust Model-Based Tracking For Robot Vision - Comport, Marchand, Chaumette (2004) (Correct)
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C.P. Lu, G.D. Hager, and E. Mjolsness. Fast and globally convergent pose estimation from video images. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(6):610--622, June 2000.
Virtual Visual Servoing: a framework for real-time augmented .. - Marchand, Chaumette (2002) (5 citations) (Correct)
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C.P. Lu, G.D. Hager, and E. Mjolsness. Fast and globally convergent pose estimation from video images. PAMI, 22(6):610--622, June 2000. 1
SoftPOSIT: Simultaneous Pose and Correspondence.. - David, DeMenthon.. (2002) (2 citations) (Correct)
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C.-P. Lu, G.D. Hager, & E. Mjolsness, "Fast and Globally Convergent Pose Estimation from Video Images," IEEE Trans. PAMI, vol. 22, pp. 610--622, 2000.
An Accuracy Certified Augmented Reality System for.. - Nicolau, Pennec.. (2004) (Correct)
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C. Lu, G.D Hager, and E. Mjolsness. Fast and globally convergent pose estimation from video images. IEEE Trans. on PAMI, 22(6):610--622, 2000.
SoftPOSIT: Simultaneous Pose and Correspondence.. - David, DeMenthon.. (2002) (2 citations) (Correct)
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Lu, C.-P., Hager, G.D. and Mjolsness, E. 2000. Fast and Globally Convergent Pose Estimation from Video Images. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(6):610--622.
A Real-Time Tracker For Markerless Augmented Reality - Comport, Marchand, Chaumette (2003) (Correct)
No context found.
C. Lu, G. Hager, and E. Mjolsness. Fast and globally convergent pose estimation from video images. IEEE trans on Pattern Analysis and Machine Intelligence, 22(6):610--622, June 2000.
Linear Pose Estimation from Points or Lines - Ansar, Daniilidis (2003) (1 citation) (Correct)
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C.-P. Lu, G. Hager, and E. Mjolsness, "Fast and Globally Convergent Pose Estimation From Video Images," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, pp. 610-622, 2000.
Evaluation of the SoftPOSIT Model-to-Image.. - David, DeMenthon.. (2002) (Correct)
No context found.
C.-P. Lu, G.D. Hager, and E. Mjolsness, "Fast and Globally Convergent Pose Estimation fromVideo Images," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 22, pp. 610--622, 2000.
Virtual Visual Servoing: a framework for real-time augmented .. - Marchand, Chaumette (2002) (5 citations) (Correct)
No context found.
C.P. Lu, G.D. Hager, and E. Mjolsness. Fast and globally convergent pose estimation from video images. PAMI, 22(6):610--622, June 2000. 1
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