Describable Visual Attributes for Face Verification and Image Search

@article{Kumar2011DescribableVA,
  title={Describable Visual Attributes for Face Verification and Image Search},
  author={Neeraj Kumar and Alexander C. Berg and Peter N. Belhumeur and Shree K. Nayar},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2011},
  volume={33},
  pages={1962-1977}
}
We introduce the use of describable visual attributes for face verification and image search. Describable visual attributes are labels that can be given to an image to describe its appearance. This paper focuses on images of faces and the attributes used to describe them, although the concepts also apply to other domains. Examples of face attributes include gender, age, jaw shape, nose size, etc. The advantages of an attribute-based representation for vision tasks are manifold: They can be… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 305 CITATIONS, ESTIMATED 29% COVERAGE

How reliable are your visual attributes?

VIEW 8 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation, and COTS Evaluation

  • IEEE Transactions on Information Forensics and Security
  • 2018
VIEW 7 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Off-Feature Information Incorporated Metric Learning for Face Recognition

  • IEEE Signal Processing Letters
  • 2018
VIEW 5 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Age and gender classification using local appearance descriptors from facial components

  • 2017 IEEE International Joint Conference on Biometrics (IJCB)
  • 2017
VIEW 4 EXCERPTS
CITES BACKGROUND, METHODS & RESULTS
HIGHLY INFLUENCED

Regression Facial Attribute Classification via simultaneous dictionary learning

VIEW 10 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

MegaFace: A Million Faces for Recognition at Scale

VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

On the effectiveness of soft biometrics for increasing face verification rates

  • Computer Vision and Image Understanding
  • 2015
VIEW 7 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

A collaborative approach for face verification and attributes refinement

VIEW 6 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2011
2019

CITATION STATISTICS

  • 52 Highly Influenced Citations

  • Averaged 46 Citations per year over the last 3 years

References

Publications referenced by this paper.
SHOWING 1-10 OF 61 REFERENCES

OKAO vision

Omron
  • http://www.omron.com/r d/ coretech/vision/okao.html, 2010.
  • 2010
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

ImageNet: A large-scale hierarchical image database

  • CVPR 2009
  • 2009
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

LabelMe: A Database and Web-Based Tool for Image Annotation

  • International Journal of Computer Vision
  • 2005
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

A robust elastic and partial matching metric for face recognition

  • 2009 IEEE 12th International Conference on Computer Vision
  • 2009
VIEW 2 EXCERPTS

Attribute and simile classifiers for face verification

  • 2009 IEEE 12th International Conference on Computer Vision
  • 2009
VIEW 2 EXCERPTS

Describing objects by their attributes

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition
  • 2009
VIEW 2 EXCERPTS

Similar Papers

Loading similar papers…