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Computed Tomography01:10

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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A Comprehensive Exploration of Fidelity Quantification in Computer-Generated Images.

Alexandra Duminil1, Sio-Song Ieng1, Dominique Gruyer1

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Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Autonomous Driving

Background:

  • Realistic road scene generation is vital for training and validating advanced driving systems.
  • Existing methods for assessing synthetic data fidelity are often application-specific and lack a comprehensive framework.
  • Computer-generated images (CGIs) present challenges in objective and subjective fidelity assessment.

Purpose of the Study:

  • To propose a comprehensive conceptual framework for quantifying the fidelity of virtual RGB images.
  • To develop a set of distinct metrics for assessing the realism of synthetic road scenes.
  • To analyze statistical characteristics of real and synthetic road datasets for insights into perceived realism.

Main Methods:

  • Analysis of local and global texture perspectives and high-frequency information in images.
  • Statistical comparison of over 28,000 real and synthetic road scene images from multiple datasets.
  • Evaluation from the perspective of an embedded camera, not the human eye.

Main Results:

  • A novel set of objective metrics for quantifying image fidelity has been developed.
  • Insights into texture patterns and high-frequency components that contribute to realism perception were revealed.
  • Pioneering objective scores were applied to real, virtual, and improved virtual data.

Conclusions:

  • The proposed metrics offer a comprehensive approach to quantifying CGI fidelity beyond application-specific needs.
  • This work provides valuable insights for improving the realism of synthetic road scene datasets.
  • The developed objective scores serve as a crucial asset for the scientific community in evaluating data realism.