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

A simple rectification method for linear multi-baseline stereovision system.

Xin Du1, Hong-dong Li, Wei-kang Gu

  • 1Department of Information and Electronics, Zhejiang University, Hangzhou 310027, China. duxin@dial.zju.edu.cn

Journal of Zhejiang University. Science
|April 15, 2004
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

SAGE: Spatially Aware Gene Selection and Dual-View Embedding Fusion for Domain Identification in Spatial Transcriptomics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

CrossIsoFun: predicting isoform functions using the integration of multi-omics data.

Bioinformatics (Oxford, England)·2024
Same author

LIMO-GCN: a linear model-integrated graph convolutional network for predicting Alzheimer disease genes.

Briefings in bioinformatics·2024
Same author

scCAD: Cluster decomposition-based anomaly detection for rare cell identification in single-cell expression data.

Nature communications·2024
Same author

Identifying new cancer genes based on the integration of annotated gene sets via hypergraph neural networks.

Bioinformatics (Oxford, England)·2024
Same journal

Enhancing the quality metric of protein microarray image.

Journal of Zhejiang University. Science·2004
Same journal

Mathematical modeling of salt-gradient ion-exchange simulated moving bed chromatography for protein separations.

Journal of Zhejiang University. Science·2004
Same journal

Characterization of cellulose acetate micropore membrane immobilized acylase I.

Journal of Zhejiang University. Science·2004
Same journal

Research on the rheological properties of pesticide suspension concentrate.

Journal of Zhejiang University. Science·2004
Same journal

Ant colony system algorithm for the optimization of beer fermentation control.

Journal of Zhejiang University. Science·2004
Same journal

Scale-up of rifamycin B fermentation with Amycolatoposis mediterranei.

Journal of Zhejiang University. Science·2004
See all related articles

This study introduces a new method to rectify all cameras in a linear multi-baseline stereo system. The efficient two-step virtual rotation technique offers improved stability over traditional binocular stereo rectification algorithms.

Area of Science:

  • Computer Vision
  • Robotics
  • 3D Reconstruction

Background:

  • Linear multi-baseline stereo systems offer robust stereovision.
  • Traditional stereo rectification methods are limited to binocular systems.
  • Existing algorithms are incompatible with linear multi-baseline configurations.

Purpose of the Study:

  • To develop a rectification method for linear multi-baseline stereo systems.
  • To enable simultaneous rectification of multiple cameras in such systems.
  • To improve upon the stability and efficiency of stereo rectification.

Main Methods:

  • A novel two-step virtual rotation method is proposed.
  • This method avoids the general 8-parameter homography transform.
  • The new approach utilizes a more specific 3-parameter transform.

Related Experiment Videos

Main Results:

  • The proposed method achieves simultaneous rectification for all cameras.
  • Experimental results demonstrate the method's efficiency on real stereo images.
  • The technique provides a more stable rectification transform.

Conclusions:

  • The presented method effectively rectifies linear multi-baseline stereo systems.
  • It offers a more stable and efficient alternative to traditional approaches.
  • This work advances the applicability of multi-baseline stereo vision.