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

View generation for three-dimensional scenes from video sequences.

N L Chang1, A Zakhor

  • 1Dept. of Electr. Eng. and Comput. Sci., California Univ., Berkeley, CA.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1997
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

Resolution enhancement of color video sequences.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

Bit allocation for joint source/channel coding of scalable video.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

Deconvolution: a novel signal processing approach for determining activation time from fractionated electrograms and detecting infarcted tissue.

Circulation·1996
Same author

Crystallization of a mammalian ornithine decarboxylase.

Proteins·1996
Same author

Crystallographic structure of a PLP-dependent ornithine decarboxylase from Lactobacillus 30a to 3.0 A resolution.

Journal of molecular biology·1995
Same author

Halftone to continuous-tone conversion of error-diffusion coded images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·1995
Same journal

Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment.

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

Semantic Frame Interpolation.

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

Physics-Guided Cross-Modal Decoupling with Test-Time Adaptation for Hyperspectral Image Restoration.

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

This study introduces a novel 3-D scene representation using dense depth maps from uncalibrated image sequences. This method enables novel view synthesis without requiring full 3-D models or multiple cameras.

Area of Science:

  • Computer Vision
  • 3-D Scene Representation
  • Novel View Synthesis

Background:

  • Traditional 3-D scene reconstruction methods often rely on full model construction or geometric invariants.
  • Existing approaches typically require multiple calibrated cameras or range scanners for accurate depth map generation.

Purpose of the Study:

  • To propose a new representation for 3-D scenes based on dense depth maps.
  • To enable novel view generation from uncalibrated image sequences with approximate camera motion.
  • To overcome limitations of existing 3-D reconstruction techniques.

Main Methods:

  • Dense depth maps are generated from image sequences captured by an uncalibrated camera with approximate motion.
  • An adaptive matching algorithm assigns confidence levels to depth map regions.

Related Experiment Videos

  • Nonuniform bicubic spline interpolation is used to refine low-confidence areas.
  • Novel views are synthesized by deforming a 2-D mesh of depth maps in 3-D space.

    • Main Results:

    • The proposed method successfully generates dense depth maps from uncalibrated image sequences.
    • Arbitrary views of 3-D scenes can be reconstructed with high fidelity.
    • Experimental results validate the effectiveness of the adaptive matching and interpolation techniques.

    Conclusions:

    • The developed approach offers an efficient and flexible method for 3-D scene representation and view generation.
    • This technique provides a viable alternative to traditional methods, particularly in scenarios with uncalibrated cameras.
    • The method demonstrates robust performance in reconstructing complex 3-D scenes from limited input data.