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Methods of Obtaining Topography01:25

Methods of Obtaining Topography

Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
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Application of Monolayer Graphene to Cryo-Electron Microscopy Grids for High-resolution Structure Determination
07:57

Application of Monolayer Graphene to Cryo-Electron Microscopy Grids for High-resolution Structure Determination

Published on: November 10, 2023

Computation of surface orientation and structure of objects using grid coding.

Y F Wang1, A Mitiche, J K Aggarwal

  • 1Laboratory for Image and Signal Analysis, University of Texas at Austin, Austin, TX 78712.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces grid coding algorithms for inferring object surface orientation and structure using active lighting. The method accurately reconstructs surfaces from projected grid patterns, offering noise tolerance and avoiding complex correspondence matching.

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Area of Science:

  • Computer Vision
  • Computational Geometry
  • Robotics

Background:

  • Accurate 3D surface reconstruction is crucial for various applications.
  • Existing methods like shape-from-shading have limitations in accuracy and noise sensitivity.
  • Grid coding offers a structured approach to scene analysis.

Purpose of the Study:

  • To develop novel algorithms for inferring surface orientation and structure using grid coding.
  • To enable 3D reconstruction of objects with arbitrary surface shapes.
  • To provide a robust and accurate alternative to existing surface reconstruction techniques.

Main Methods:

  • Active lighting technique with two orthogonal grid patterns for scene encoding.
  • Analysis of projected grid patterns on object surfaces to determine local orientation.
  • Interpolation for dense orientation map generation under smoothness constraints.
  • Surface structure recovery from the dense orientation map.

Main Results:

  • Algorithms successfully infer surface orientation and structure for both planar and curved surfaces.
  • The proposed method demonstrates reasonable accuracy and tolerance to noise.
  • The technique avoids the need for correspondence matching of grid junctions, unlike stereopsis-based methods.

Conclusions:

  • The grid coding approach provides a robust and efficient method for 3D surface reconstruction.
  • The algorithms are versatile, handling arbitrary surface shapes uniformly.
  • The ability to register images allows integration with multi-view systems.