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Related Concept Videos

Stereoisomers02:32

Stereoisomers

On the basis of mirror symmetry, stereoisomers of an organic molecule can be further classified into diastereomers and enantiomers. Diastereomers are stereoisomers that are not mirror images of each other. Substituted alkenes, such as the cis and trans isomers of 2-butene, are diastereomers, as these molecules exhibit different spatial orientations of their constituent atoms, are not mirror images of each other, and do not interconvert. Here, the interconversion is suppressed due to restricted...
Stereoisomerism02:52

Stereoisomerism

Isomerism in Complexes
Isomers are different chemical species that have the same chemical formula.
Transition metal complexes often exist as geometric isomers, in which the same atoms are connected through the same types of bonds but with differences in their orientation in space. Coordination complexes with two different ligands in the cis and trans positions from a ligand of interest form isomers. For example, the octahedral [Co(NH3)4Cl2]+ ion has two isomers (Figure 1) In the cis...
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...

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Evaluation of stereo matching costs on images with radiometric differences.

IEEE transactions on pattern analysis and machine intelligence·2009
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Related Experiment Video

Updated: Jul 9, 2026

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
09:25

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

Stereo processing by semiglobal matching and mutual information.

Heiko Hirschmüller1

  • 1German Aerospace Center (DLR), Institute of Robotics and Mechatronics, Muenchner Str. 20, 82234 Wessling, Germany. heiko.hirschmueller@dlr.de

IEEE Transactions on Pattern Analysis and Machine Intelligence
|December 18, 2007
PubMed
Summary

The Semi-Global Matching (SGM) stereo vision method achieves top performance, even outperforming others in subpixel accuracy. This efficient algorithm offers fast, robust 3D reconstructions for large-scale applications.

Related Experiment Videos

Last Updated: Jul 9, 2026

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
09:25

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

Area of Science:

  • Computer Vision
  • Photogrammetry
  • Robotics

Background:

  • Stereo matching is crucial for 3D scene reconstruction from multiple images.
  • Radiometric variations and occlusions pose significant challenges in stereo vision.
  • Existing methods often struggle with computational complexity and accuracy trade-offs.

Purpose of the Study:

  • To introduce and evaluate the Semi-Global Matching (SGM) stereo vision algorithm.
  • To demonstrate SGM's effectiveness in handling radiometric differences and occlusions.
  • To present strategies for processing large-scale imagery and fusing disparity information.

Main Methods:

  • Pixelwise Mutual Information-based matching cost for radiometric compensation.
  • Global smoothness constraint approximated via pathwise optimizations.
  • Inclusion of occlusion detection, subpixel refinement, and multi-baseline capabilities.

Main Results:

  • SGM achieves state-of-the-art performance, particularly in subpixel accuracy.
  • The algorithm exhibits linear complexity, enabling fast processing (1-2s on test images).
  • Demonstrated robustness against radiometric transformations and successful application to aerial imagery.

Conclusions:

  • SGM provides a highly accurate and efficient solution for stereo matching.
  • The method is well-suited for real-world applications, including large-scale 3D reconstruction.
  • SGM's design facilitates practical implementation and further advancements in stereo vision.