Quang-Tuan Luong

According to our database1, Quang-Tuan Luong authored at least 32 papers between 1992 and 2012.

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Bibliography

2012
Capture considerations for multiview panoramic cameras.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

2011
Aesthetics and Emotions in Images.
IEEE Signal Process. Mag., 2011

2005
Rectification and recognition of text in 3-D scenes.
Int. J. Document Anal. Recognit., 2005

2003
Self-Consistency and MDL: A Paradigm for Evaluating Point-Correspondence Algorithms, and Its Application to Detecting Changes in Surface Elevation.
Int. J. Comput. Vis., 2003

2002
The Radiometry of Multiple Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Recovery of Reflectances and Varying Illuminants from Multiple Views.
Proceedings of the Computer Vision, 2002

2001
The geometry of multiple images - the laws that govern the formation of multiple images of a scene and some of their applications.
MIT Press, ISBN: 978-0-262-06220-6, 2001

2000
Measuring the Self-Consistency of Stereo Algorithms.
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000

Detecting Changes in 3-D Shape Using Self-Consistency.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999
Characterizing the Performance of Multiple-Image Point-Correspondence Algorithms Using Self-Consistency.
Proceedings of the Vision Algorithms: Theory and Practice, 1999

1998
On the Determination of Epipoles Using Cross-Ratios.
Comput. Vis. Image Underst., 1998

Sketching natural terrain from uncalibrated imagery.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

1997
Self-Calibration of a Moving Camera from Point Correspondences and Fundamental Matrices.
Int. J. Comput. Vis., 1997

1996
Motion of an uncalibrated stereo rig: self-calibration and metric reconstruction.
IEEE Trans. Robotics Autom., 1996

Motion of points and lines in the uncalibrated case.
Int. J. Comput. Vis., 1996

The fundamental matrix: Theory, algorithms, and stability analysis.
Int. J. Comput. Vis., 1996

Canonical Representations for the Geometries of Multiple Projective Views.
Comput. Vis. Image Underst., 1996

1995
A Robust Technique for Matching two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry.
Artif. Intell., 1995

An Integrated Stereo-Based Approach to Automatic Vehicle Guidance.
Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995

Smart Cars and Smart Roads.
Proceedings of the British Machine Vision Conference, 1995

1994
Computing motion and structure in image sequences without calibration.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

An optimization framework for efficient self-calibration and motion determination.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

On the direct determination of epipoles: a case study in algebraic methods for geometric problems.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Canonic Representations for the Geometries of Multiple Projective Views.
Proceedings of the Computer Vision, 1994

A Stability Analysis of the Fundamental Matrix.
Proceedings of the Computer Vision, 1994

Robust Recovery of the Epipolar Geometry for an Uncalibrated Stereo Rig.
Proceedings of the Computer Vision, 1994

Self-calibration of an Uncalibrated Stereo Rig from One Unknown Motion.
Proceedings of the British Machine Vision Conference, 1994

1993
Determining the fundamental matrix with planes: instability and new algorithms.
Proceedings of the Conference on Computer Vision and Pattern Recognition, 1993

Color in Computer Vision.
Proceedings of the Handbook of Pattern Recognition and Computer Vision, 1993

1992
Self-calibration of a camera using multiple images.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

Camera Self-Calibration: Theory and Experiments.
Proceedings of the Computer Vision, 1992

Active Head Movements Help Solve Stereo Correspondence.
Proceedings of the 10th European Conference on Artificial Intelligence, 1992


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