The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Total variation models for variable lighting face recognition
Abstract
In this paper, we present the logarithmic total variation (LTV) model for face recognition under varying illumination, including natural lighting conditions, where we rarely know the strength, direction, or number of light sources. The proposed LTV model has the ability to factorize a single face image and obtain the illumination invariant facial structure, which is then used for face recognition. Our model is inspired by the SQI model but has better edge-preserving ability and simpler parameter selection. The merit of this model is that neither does it require any lighting assumption nor does it need any training. The LTV model reaches very high recognition rates in the tests using both Yale and CMU PIE face databases as well as a face database containing 765 subjects under outdoor lighting conditions.
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Cites
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Mean shift: a robust approach toward feature space analysis
Comaniciu, D., & Meer, P. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.1000236 · Cited by 11,305
Self-citationBilateral Filtering for Gray and Color Images
Tomasi, C., & Manduchi, R. (2002) · Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) · doi:10.1109/iccv.1998.710815 · Cited by 8,177 · cited 1×
“To reduce halo artifacts, discontinuity preserving filtering can be used to estimate L, such as anisotropic diffusion [28], bilateral filtering [40], or mean shift filtering [11].”
MethodFrom few to many: illumination cone models for face recognition under variable lighting and pose
Georghiades, A. S., Belhumeur, P. N., & Kriegman, D. J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.927464 · Cited by 4,912
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A multiscale retinex for bridging the gap between color images and the human observation of scenes
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Cited by
Wagner, A., Wright, J., Ganesh, A., Zhou, Z., Mobahi, H., & Ma, Y. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.112 · Cited by 629
Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model
Tan, X., Li, Y., Liu, J., & Jiang, L. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-15567-3_37 · Cited by 521
Metadata
- Authors
- Chen, T., Yin, W., Zhou, X. S., Comaniciu, D., & Huang, T. S.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2006-09
- Volume
- 28
- Issue
- 9
- Pages
- 1519-1524
- ISSN
- 0162-8828 (ISSN-L)
- 2160-9292
- OpenAlex
- W2146772029
- Cited by
- 437
- References
- 41
- FWCI
- 23.92
- Type
- journal article
- Language
- en
- Open access
- closed
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