Heterogeneous image transformation

@article{Wang2013HeterogeneousIT,
  title={Heterogeneous image transformation},
  author={Nannan Wang and Jie Li and Dacheng Tao and Xuelong Li and Xinbo Gao},
  journal={Pattern Recognition Letters},
  year={2013},
  volume={34},
  pages={77-84}
}
Heterogeneous image transformation (HIT) plays an important role in both law enforcements and digital entertainment. Some available popular transformation methods, like locally linear embedding based, usually generate images with lower definition and blurred details mainly due to two defects: (1) these approaches use a fixed number of nearest neighbors (NN) to model the transformation process, i.e., K-NN-based methods; (2) with overlapping areas averaged, the transformed image is approximately… CONTINUE READING
Highly Cited
This paper has 65 citations. REVIEW CITATIONS
26 Citations
31 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 26 extracted citations

65 Citations

0102030'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 65 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 31 references

A new approach for face recognition by sketches in photos

  • B. Xiao, X. Gao, X. Li, D. Tao
  • Signal Process
  • 2009
Highly Influential
7 Excerpts

Similar Papers

Loading similar papers…