The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
3D Face Reconstruction from a Single Image Using a Single Reference Face Shape
Abstract
Human faces are remarkably similar in global properties, including size, aspect ratio, and location of main features, but can vary considerably in details across individuals, gender, race, or due to facial expression. We propose a novel method for 3D shape recovery of faces that exploits the similarity of faces. Our method obtains as input a single image and uses a mere single 3D reference model of a different person's face. Classical reconstruction methods from single images, i.e., shape-from-shading, require knowledge of the reflectance properties and lighting as well as depth values for boundary conditions. Recent methods circumvent these requirements by representing input faces as combinations (of hundreds) of stored 3D models. We propose instead to use the input image as a guide to "mold" a single reference model to reach a reconstruction of the sought 3D shape. Our method assumes Lambertian reflectance and uses harmonic representations of lighting. It has been tested on images taken under controlled viewing conditions as well as on uncontrolled images downloaded from the Internet, demonstrating its accuracy and robustness under a variety of imaging conditions and overcoming significant differences in shape between the input and reference individuals including differences in facial expressions, gender, and race.
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Cites
From 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
A morphable model for the synthesis of 3D faces
Blanz, V., & Vetter, T. (1999) · Proceedings of the 26th annual conference on Computer graphics and interactive techniques - SIGGRAPH '99 · doi:10.1145/311535.311556 · Cited by 4,710
The psychology of computer vision
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Cootes, T. F., Edwards, G. J., & Taylor, C. J. (1998) · Lecture Notes in Computer Science · doi:10.1007/bfb0054760 · Cited by 2,195
Zhang, R., Tsai, P.-S., Cryer, J. E., & Shah, M. (1999) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.784284 · Cited by 1,731
Lambertian reflectance and linear subspaces
Basri, R., & Jacobs, D. W. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1177153 · Cited by 1,576
Self-citationThe Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields
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Perception of shape from shading
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A Viscosity Solutions Approach to Shape-From-Shading
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Automatic interpretation and coding of face images using flexible models
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Cited by
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Choy, C. B., Xu, D., Gwak, J., Chen, K., & Savarese, S. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46484-8_38 · Cited by 1,632
Effective face frontalization in unconstrained images
Hassner, T., Harel, S., Paz, E., & Enbar, R. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7299058 · Cited by 613
Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network
Tran, A. T., Hassner, T., Masi, I., & Medioni, G. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.163 · Cited by 503
Static and dynamic 3D facial expression recognition: A comprehensive survey
Sandbach, G., Zafeiriou, S., Pantic, M., & Yin, L. (2012) · Image and Vision Computing · doi:10.1016/j.imavis.2012.06.005 · Cited by 357
Learning Detailed Face Reconstruction from a Single Image
Richardson, E., Sela, M., Or-El, R., & Kimmel, R. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.589 · Cited by 336
Metadata
- Authors
- Kemelmacher-Shlizerman, I., & Basri, R.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2011-02
- Volume
- 33
- Issue
- 2
- Pages
- 394-405
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2146566773
- Cited by
- 428
- References
- 26
- FWCI
- 24.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kemelmacher-Shlizerman, I., & Basri, R. (2011). 3D Face Reconstruction from a Single Image Using a Single Reference Face Shape. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2010.63
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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