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October 2, 2025Journal of Interdisciplinary Mathematics0 citations

Algorithmic approaches to real and complex geometry in computer vision applications

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FSFarhadeeba ShaikhMPMohammad Rasel PervezSBSatish S. Banait

Key Points

  • The new methods improve accuracy in image recognition and object detection by applying geometric algorithms, enhancing computational performance.
  • Methods leveraging logarithmic and differential geometry yield better solutions for 3D modeling and navigating complex visual scenarios.
  • Cross-disciplinary techniques help tackle challenges like obstructed views and varying lighting conditions, supporting advancements in computer vision applications.
  • The integration of geometric principles into computer vision enhances overall effectiveness, pointing to future potential improvements in visual frameworks.

Abstract

The article “Algorithmic Approaches to Genuine and Complex Geometry in Computer Vision Applications” talks almost how geometric thoughts can be utilized to create computer vision frameworks work superior and be more exact. The objective of the ponder is to fathom issues in picture acknowledgment, protest spotting, and 3D modeling by utilizing both genuine and complicated geometric strategies. The think about comes up with modern strategies that utilize logarithmic geometry, differential geometry, and complex investigation together to create superior utilize of visual information. These strategies help us to navigate visual challenges like blocked views or changing light by providing strong scientific models. These geometric methods make computers speedier and more accurate in many respects, according to testing. They appear to be advancing computer vision. This cross-disciplinary work bridges theoretical geometry and real-world eyesight. Engineers and analysts have everything they need to create stronger, more effective visual frameworks.

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Cite This Study

Shaikh et al. (2025) studied this question.

synapsesocial.com/papers/68de68ea83cbc991d0a21288https://doi.org/10.47974/jim-2377
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