An Objective Evaluation of Harris Corner and FAST Feature Extraction Techniques for 3D Reconstruction of Face in Forensic Investigation

Authors

  • Sincy John Department of Computer Science and Engineering, Christ University, Bengaluru, India
  • Ajit Danti Department of Computer Science and Engineering, Christ University, Bengaluru, India

Keywords:

3D reconstruction, Features from accelerated segment test, Harris corner detection

Abstract

3d reconstructed face images are the volumetric data from two dimensions, it can provide geometric information, which is very helpful for different application like facial recognition, forensic analysis, animation. Reconstructed face images can provide better visualization, than a two dimensional image can provide. For a proper 3d reconstruction one of primary step is feature extraction. The objective of this study is to conduct a comprehensive evaluation of two prominent traditional feature extraction techniques, namely Harris Corner and FAST (Features from Accelerated Segment Test), for the purpose of 3D reconstruction of face images in forensic analysis. In this research paper feature extraction was carried out using the Harris corner detection and FAST Feature technique. 3D reconstruction is completed using the retrieved features.  In this study a comparative analysis was conducted assessing the aspect ratio, depth resolution. The results of the assessment provide valuable insights into the strengths and limitations of both techniques, aiding researchers and practitioners in selecting the most suitable method for 3D face image reconstruction applications.

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Published

21.09.2023

How to Cite

John, S. ., & Danti, A. . (2023). An Objective Evaluation of Harris Corner and FAST Feature Extraction Techniques for 3D Reconstruction of Face in Forensic Investigation. International Journal of Intelligent Systems and Applications in Engineering, 11(4), 535–545. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3587

Issue

Vol. 11 No. 4 (2023)

Section

Research Article

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