Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes

@inproceedings{Triggs2004DetectingKW,
  title={Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes},
  author={Bill Triggs},
  booktitle={ECCV},
  year={2004}
}
Local feature approaches to vision geometry and object recognition are based on selecting and matching sparse sets of visually salient image points, known as ‘keypoints’ or ‘points of interest’. Their performance depends critically on the accuracy and reliability with which corresponding keypoints can be found in subsequent images. Among the many existing keypoint selection criteria, the popular Förstner-Harris approach explicitly targets geometric stability, defining keypoints to be points… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 41 references

A Combined Corner and Edge Detector

Alvey Vision Conference • 1988
View 8 Excerpts
Highly Influenced

Towards Automatic Visual Obstacle Avoidance

IJCAI • 1977
View 5 Excerpts
Highly Influenced

Matching of Areas in Stereo Images

M. J. Hannah.Computer
Ph.D. Thesis, Stanford University, • 1974
View 6 Excerpts
Highly Influenced

A fast operator for detection and precise location of distinct points, corners and centres of circular features

W. Förstner, E. G ̈ ulch
ISPRS Intercommission Workshop • 1987
View 6 Excerpts
Highly Influenced

A feature-based correspondence algorithm for image matching

W. Förstner
Int. Arch. Photogrammetry & Remote Sensing , 26 (3/3):150–166 • 1986
View 7 Excerpts
Highly Influenced

A Performance Evaluation of Local Descriptors

IEEE Trans. Pattern Anal. Mach. Intell. • 2005
View 3 Excerpts

Torr and A . Zisserman . Feature based methods for structure and motion estimation

S. P.H.
2003

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