Face and Human Gait Recognition Using Image-to-Class Distance

@article{Huang2010FaceAH,
  title={Face and Human Gait Recognition Using Image-to-Class Distance},
  author={Yi Huang and Dong Xu and Tat-Jen Cham},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2010},
  volume={20},
  pages={431-438}
}
We propose a new distance measure for face recognition and human gait recognition. Each probe image (a face image or an average human silhouette image) is represented as a set of local features uniformly sampled over a grid with fixed spacing, and each gallery image is represented as a set of local features sampled at each pixel. We formulate an integer programming problem to compute the distance (referred to as the image-to-class distance) from one probe image to all the gallery images… CONTINUE READING
Highly Cited
This paper has 58 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 41 extracted citations

59 Citations

0510'11'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 59 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 32 references

Similar Papers

Loading similar papers…