Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Face recognition using dual-tree complex wavelet features.

Chao-Chun Liu, Dao-Qing Dai

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |July 15, 2009
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Cross-site prognosis prediction for nasopharyngeal carcinoma from incomplete multi-modal data.

    Medical image analysis·2024
    Same author

    BuresNet: Conditional Bures Metric for Transferable Representation Learning.

    IEEE transactions on pattern analysis and machine intelligence·2022
    Same author

    springD2A: capturing uncertainty in disease-drug association prediction with model integration.

    Bioinformatics (Oxford, England)·2021
    Same author

    Subtype-WESLR: identifying cancer subtype with weighted ensemble sparse latent representation of multi-view data.

    Briefings in bioinformatics·2021
    Same author

    Learning representation for multiple biological networks via a robust graph regularized integration approach.

    Briefings in bioinformatics·2021
    Same author

    DeFusion: a denoised network regularization framework for multi-omics integration.

    Briefings in bioinformatics·2021
    Same journal

    Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    GoP-based Quality Enhancement on Video Compression.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    See all related articles

    A new facial recognition method uses the dual-tree complex wavelet transform for robust feature extraction. This approach effectively handles variations in shift and illumination, outperforming existing wavelet transforms.

    Area of Science:

    • Computer Vision
    • Image Processing
    • Biometrics

    Background:

    • Facial recognition systems require robust feature representation to overcome variations in pose, illumination, and scale.
    • Traditional methods like Discrete Wavelet Transform (DWT) and Gabor Wavelet Transform (GWT) have limitations in capturing complex facial structures and maintaining robustness.

    Discussion:

    • The proposed Dual-Tree Complex Wavelet Transform (DT-CWT) offers a novel facial representation that captures intricate geometrical structures with reduced redundancy.
    • DT-CWT's inherent properties provide superior robustness against translational shifts and illumination changes compared to DWT and GWT.

    Key Insights:

    • DT-CWT significantly enhances the discriminative power of facial features.
    • Experimental results demonstrate the superiority of DT-CWT over DWT and GWT in face recognition accuracy under challenging conditions.

    Related Experiment Videos

  • The method achieves effective and efficient facial representation, crucial for real-time applications.

    • Outlook:

    • Further research can explore the integration of DT-CWT with deep learning architectures for even higher face recognition performance.
    • Investigating the application of DT-CWT in other biometric modalities could yield promising results.
    • Optimizing DT-CWT parameters for diverse demographic groups and varying environmental conditions is a potential future direction.