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

Three-dimensional joint transform correlator.

J Rosen

    Applied Optics
    |February 28, 2008
    PubMed
    Summary
    This summary is machine-generated.

    This study demonstrates a three-dimensional (3-D) joint transform correlator for realistic object recognition. The system effectively correlates 3-D objects using multiple camera views against a 3-D reference, considering camera configuration impacts.

    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

    Phenotypic Convergence Is Stronger and More Frequent in Herbivorous Fishes.

    Integrative and comparative biology·2024
    Same author

    Ti <sub></sub>C <sub></sub> MXenes with fully saturated and thermally stable Cl terminations.

    Nanoscale advances·2022
    Same author

    Correction: Genetic influences on central and peripheral nervous system activity during fear conditioning.

    Translational psychiatry·2022
    Same author

    Genetic influences on central and peripheral nervous system activity during fear conditioning.

    Translational psychiatry·2022
    Same author

    Microscopic evidence for Mn-induced long range magnetic ordering in MAX phase compounds.

    Journal of physics. Condensed matter : an Institute of Physics journal·2020
    Same author

    Immunohistochemistry analysis of itch and pain mediators in nonmelanoma skin cancer.

    Journal of the European Academy of Dermatology and Venereology : JEADV·2020
    Same journal

    Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

    Applied optics·2026
    Same journal

    High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

    Applied optics·2026
    Same journal

    Automated stitching interferometry for high-precision metrology of X-ray mirrors.

    Applied optics·2026
    Same journal

    Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

    Applied optics·2026
    Same journal

    High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

    Applied optics·2026
    Same journal

    Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

    Applied optics·2026
    See all related articles

    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Image Processing

    Background:

    • Traditional correlation techniques often struggle with 3-D object recognition due to variations in viewpoint and illumination.
    • The development of robust 3-D correlation methods is crucial for advanced applications in robotics, surveillance, and augmented reality.

    Purpose of the Study:

    • To demonstrate the efficacy of a three-dimensional (3-D) joint transform correlator for recognizing realistic 3-D objects.
    • To investigate the impact of camera parameters, such as the number and direction of observation, on correlation performance.

    Main Methods:

    • Implementation of a 3-D joint transform correlator architecture.
    • Correlation of 3-D object data acquired from multiple camera perspectives with a 3-D reference object.

    Related Experiment Videos

  • Analysis of system performance based on varying numbers and directions of cameras.

    • Main Results:

    • Successful demonstration of 3-D joint transform correlation with realistic targets.
    • Quantification of the influence of camera configuration on the accuracy and robustness of the correlation process.
    • Validation of the system's capability to perform 3-D object recognition under varied observational conditions.

    Conclusions:

    • The demonstrated 3-D joint transform correlator is a viable method for realistic 3-D object recognition.
    • Optimizing camera selection and placement significantly enhances the performance of 3-D correlation systems.
    • This approach offers a promising foundation for advanced 3-D object identification in complex environments.