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Automatic calibration framework for multi-modal robot vision using IQA metrics.

Camera_Calibration_for_Multi-Modal_Robot_Vision

https://www.pirahansiah.com/notes/pubs/papers/Camera_Calibration_for_Multi-Modal_Robot_Vision

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My Conference Paper  Camera Calibration for Multi-Modal Robot Vision

My Conference Paper: Camera Calibration for Multi-Modal Robot Vision

Camera Calibration for Multi-Modal Robot Vision

1. Introduction

  • Objective: Propose an automatic calibration method for multimodal robot vision.
  • Challenges in Robot Vision:
    • Image quality degradation
    • Difficulty in adjusting to different environments
  • Key Issues:
    • False negative data points due to poor calibration
    • Need for continuous recalibration in dynamic environments

2. Image Quality and Calibration

  • Image Quality Assessment (IQA):
    • Impact of poor image quality on robot vision
    • Key metrics:
    • Peak Signal-to-Noise Ratio (PSNR)
    • Structural Similarity Index (SSIM)
  • Camera Calibration (CC):
    • Relationship between image quality and calibration accuracy
    • Need for automatic calibration techniques

3. Proposed Method

  • Automatic Calibration Framework:
    • Framework based on IQA metrics like PSNR and SSIM
    • Designed to adjust calibration automatically in real-time as image quality changes
  • Calibration Techniques:
    • Techniques for handling dynamic environments and maintaining accuracy
    • Evaluates multiple environments to test robustness

4. Evaluation and Results

  • Accuracy Evaluation:
    • Comparison of calibration methods in different test scenarios
    • Analysis of datasets generated with automatic calibration
  • Results:
    • Significant improvement in robot vision accuracy using the proposed automatic calibration method
    • Less need for manual intervention in real-time environments

5. Conclusion

  • Key Findings:
    • The proposed method successfully addresses the challenge of automatic camera calibration in dynamic environments.
    • Demonstrates a clear link between image quality assessment and calibration performance.
  • Implications:
    • Improved robot vision performance in various applications (e.g., autonomous humanoid robots).

Source: Pirahansiah, F. “Camera Calibration for Multi-Modal Vision”. pirahansiah.com, updated 2026-09-19. Canonical URL https://pirahansiah.com/farshid/content/papers-multimodal-calibration/ · markdown source papers-multimodal-calibration.md · how to cite, quote and link this site.