Algorithmic approaches to real and complex geometry in computer vision applications

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.

Authors

Publication Details

Journal
Journal of Interdisciplinary Mathematics
Published
2025-01-01
DOI
https://doi.org/10.47974/jim-2377
Primary Topic
Digital Image Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Algorithmic approaches to real and complex geometry in computer vision applications

Satish S. Banait, Mohammad Rasel Pervez, Shubham Goswami, Uday Patkar et al.
Journal of Interdisciplinary Mathematics
Digital Image Processing Techniques
article

Algorithmic approaches to real and complex geometry in computer vision applications

Satish S. Banait, Mohammad Rasel Pervez, Shubham Goswami, Uday Patkar, Anil Kumar, Farhadeeba Shaikh
article en

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.

Journal of Interdisciplinary MathematicsVol. 28(6)
Openalex Percentile: Top 73%
Digital Image Processing Techniques
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Algorithmic approaches to real and complex geometry in computer vision applications — Satish S. Banait, Mohammad Rasel Pervez, et al. · Journal of Interdisciplinary Mathematics (2025) | TGRS Research Map | TGRS