QR Code Image Correction based on Corner Detection and Convex Hull Algorithm

@article{Kong2013QRCI,
  title={QR Code Image Correction based on Corner Detection and Convex Hull Algorithm},
  author={Suran Kong},
  journal={J. Multim.},
  year={2013},
  volume={8},
  pages={662-668}
}
  • Suran Kong
  • Published 12 January 2013
  • Computer Science
  • J. Multim.
Since the angular deviation produced when shooting a QR code image by a camera would cause geometric distortion of the QR code image, the traditional algorithm of QR code image correction would produce distortion. [] Key Method Firstly, binaryzation of the collected QR code image with uneven light is obtained by the methods of local threshold and mathematical morphology.

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References

SHOWING 1-10 OF 23 REFERENCES

Discriminative K-SVD for dictionary learning in face recognition

  • Qiang ZhangBaoxin Li
  • Computer Science
    2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  • 2010
The proposed method to learn an over-complete dictionary is based on extending the K-SVD algorithm by incorporating the classification error into the objective function, thus allowing the performance of a linear classifier and the representational power of the dictionary being considered at the same time by the same optimization procedure.

Robust Face Recognition via Sparse Representation

This work considers the problem of automatically recognizing human faces from frontal views with varying expression and illumination, as well as occlusion and disguise, and proposes a general classification algorithm for (image-based) object recognition based on a sparse representation computed by C1-minimization.

Association of Moving Objects Across Visual Sensor Networks

A novel inter-camera trajectory association algorithm for partially overlapping visual sensor networks using dynamic motion models of the projected trajectory segments using Modified Consistent Akaike’s Information Criterion to establish correspondence among trajectories that are observed in multiple views.

Multi-scale Sparse Representation for Robust Face Recognition

A model extends from Sparse Representation-based Classification named Multi-scale SRC named MSRC is proposed which helps improving the recognition rate significantly, but also makes the algorithm more robust with occlusion.

(t, n) Secret Sharing Scheme Based on Cylinder Model in Wireless Sensor Networks

A ( t, n ) threshold secret sharing scheme which is based on the cylinder model, including the procedures of master-key reconfiguration and sub-key updating, which satisfies the security requirement of key management in wireless sensor networks, and can effectively reduce the cost on communication and computation.

3D Tracking and Positioning of Surgical Instruments in Virtual Surgery Simulation

A suit of 3D tracking and positioning of surgical instruments based on stereoscopic vision is proposed that can capture spatial movements of simulated surgical instrument in real time, and provide 6 degree of freedom information with the absolute error of less than 1 mm.

Joint optimization for downlink resource allocation in cognitive radio cellular networks

This paper takes into account the uncertainty of the primary users' locations and transmission power in designing an optimal downlink scheduling scheme for cognitive radio cellular networks (CogCells) and proposes an efficient joint channel assignment and power control scheme based on dual decomposition method.

Compressed Sensing

This report explains the ideas of compressed sensing to the reader and gives a (highly incomplete) overview of the work done in the field and suggests that proofs involving matrices can be shortened by 50% if one throws the matrices out.

Model for computing aggregate interference from secondary cellular network in presence of correlated shadow fading

  • K. RuttikK. KoufosR. Jäntti
  • Computer Science
    2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications
  • 2011
This paper estimates the aggregate interference as an integration over the power spatial density in the secondary system's deployment area and modify such integration-based model to contain the correlation in shadow fading.

A Spectral Efficient and Fair User-Centric Spectrum Allocation Approach for Downlink Transmissions

A user-centric spectrum allocation algorithm based on a physical interference model for downlink transmissions that outperforms traditional BS-centric approaches by offering a 26% higher throughput in dense networks, but also provides fairer spectrum allocation.