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

Compact encoding of 3-D voxel surfaces based on pattern code representation.

Chang-Su Kim1, Sang-Uk Lee

  • 1Sch. of Electr. Eng., Seoul Nat. Univ., South Korea.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 5, 2008
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

Surgical Options for Massive Rotator Cuff Tears with Preserved Full Range of Motion in Middle-Aged Patients.

Clinics in orthopedic surgery·2026
Same author

Advancing Precision in Shoulder Arthroplasty: Patient-Specific Instrumentation, Navigation, and Emerging Technologies.

Clinics in orthopedic surgery·2025
Same author

Suppression of PCBM dimer formation in inverted perovskite solar cells.

Nature materials·2025
Same author

Crystallization control of Cu(I)-halide <i>via</i> thermal evaporation for improving resistive switching memory performance.

Nanoscale·2025
Same author

Effect of the Hammett substituent constant of <i>para</i>-substituted benzoic acid on the perovskite/SnO<sub>2</sub> interface passivation in perovskite solar cells.

Nanoscale·2024
Same author

Degassing 4-<i>tert</i>-Butylpyridine in the Spiro-MeOTAD Film Improves the Thermal Stability of Perovskite Solar Cells.

ACS applied materials & interfaces·2024
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
Same journal

Multi-Branch Tree-based Fusion Neural Architecture Search with Zero-Cost Screen for Multi-Modal Classification.

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

This study introduces a lossless compression algorithm for 3D binary voxel surfaces using pattern code representation (PCR). The novel method achieves high compression rates, requiring only 0.5-1 bits per black voxel (bpbv).

Area of Science:

  • Computer Science
  • Data Compression
  • Computer Graphics

Background:

  • Three-dimensional (3-D) binary voxel surfaces are crucial in various applications.
  • Efficient storage and transmission of these surfaces are challenging due to data size.
  • Existing compression methods may not fully exploit the spatial redundancy in voxel data.

Purpose of the Study:

  • To propose a novel lossless compression algorithm for 3-D binary voxel surfaces.
  • To leverage pattern code representation (PCR) for efficient data encoding.
  • To achieve significant coding gain by exploiting local shape correlations.

Main Methods:

  • The algorithm utilizes pattern code representation (PCR), where each voxel's pattern is defined by its 3x3x3 neighborhood.
  • It encodes voxel surfaces as a series of pattern codes.

Related Experiment Videos

  • Performance is evaluated on voxel surfaces derived from triangular mesh models.

    • Main Results:

    • The proposed algorithm achieves lossless compression for 3-D binary voxel surfaces.
    • It demonstrates high coding gain due to the correlation between adjacent voxel patterns.
    • Compression efficiency is measured at approximately 0.5 to 1 bit per black voxel (bpbv).

    Conclusions:

    • The pattern code representation (PCR) based algorithm offers an effective solution for compressing 3-D binary voxel surfaces.
    • The method achieves excellent compression ratios, making it suitable for storage and transmission.
    • This approach significantly reduces the data requirements for representing complex 3-D shapes.