Depiction of ethnic facial aging by forensic artists and preliminary assessment of the applicability of facial averages

Kyllonen, Kelsey M.; Monson, Keith L.

doi:10.1016/j.forsciint.2020.110353

Cited by 4 publications

(2 citation statements)

References 123 publications

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“…Therefore, to accurately reconstruct a face, it is necessary to know the average FSTT of a specific part of the face. Through FSTT, forensic artists use artistic techniques to visualize crime, investigation, or information, one of which is face reconstruction [15]. Face reconstruction is a technique for examining postmortem faces from human remains, providing ancestry, age, gender, and facial profile [16][17][18].…”

Section: Discussionmentioning

confidence: 99%

Facial Soft Tissue Thickness Differences among Three Skeletal Classes in Korean Population Using CBCT

Park

Chang

Park

2023

IJERPH

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Studies related to facial soft tissue thickness (FSTT) have been conducted since the late 19th century. Soft tissue is any tissue in the body that is not hardened by ossification or calcification processes, such as bones and teeth; and varies according to sex, age, race, and nutritional status. Forensically, soft tissue thickness plays an important role in cases where a cadaver has no unique characteristics; and the remains cannot be identified through DNA analysis, fingerprints, or examination of dental records. Therefore, the results of the current study suggest that the average thickness of the three skeletal classes (i.e., straight, concave, and convex) should be used for face restoration and forensic art research. It is thought that the current study’s results will be invaluable in the fields of forensic science, forensic art, anthropology, and dentistry. As a result, gender differences were observed in all classes, and the facial tissue thickness in Korean adults differed according to gender and occlusion type.

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Section: Discussionmentioning

confidence: 99%

Facial Soft Tissue Thickness Differences among Three Skeletal Classes in Korean Population Using CBCT

Park

Chang

Park

2023

IJERPH

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“…These transformations pose challenges for facial recognition systems, especially in applications like security and forensics, where accuracy is crucial. Understanding facial aging extends beyond individual health, holding broader implications for societal and technological advancements (Kyllonen and Monson, 2020;Donato et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Precision sketching with de-aging networks in forensics

Martis,

Sannidhan,

Pratheeksha Hegde

et al. 2024

Front. Signal Process.

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Addressing the intricacies of facial aging in forensic facial recognition, traditional sketch portraits often fall short in precision. This study introduces a pioneering system that seamlessly integrates a de-aging module and a sketch generator module to overcome the limitations inherent in existing methodologies. The de-aging module utilizes a deepfake-based neural network to rejuvenate facial features, while the sketch generator module leverages a pix2pix-based Generative Adversarial Network (GAN) for the generation of lifelike sketches. Comprehensive evaluations on the CUHK and AR datasets underscore the system’s superior efficiency. Significantly, comprehensive testing reveals marked enhancements in realism during the training process, demonstrated by notable reductions in Frechet Inception Distance (FID) scores (41.7 for CUHK, 60.2 for AR), augmented Structural Similarity Index (SSIM) values (0.789 for CUHK, 0.692 for AR), and improved Peak Signal-to-Noise Ratio (PSNR) metrics (20.26 for CUHK, 19.42 for AR). These findings underscore substantial advancements in the accuracy and reliability of facial recognition applications. Importantly, the system, proficient in handling diverse facial characteristics across gender, race, and culture, produces both composite and hand-drawn sketches, surpassing the capabilities of current state-of-the-art methods. This research emphasizes the transformative potential arising from the integration of de-aging networks with sketch generation, particularly for age-invariant forensic applications, and highlights the ongoing necessity for innovative developments in de-aging technology with broader societal and technological implications.

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aDNA, ethnography, and facial approximations of the Teouma Lapita burials (c. 3000BP)

Hayes,

Buckley,

Valentin

et al. 2024

Journal of Archaeological Science

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Depiction of ethnic facial aging by forensic artists and preliminary assessment of the applicability of facial averages

Cited by 4 publications

References 123 publications

Facial Soft Tissue Thickness Differences among Three Skeletal Classes in Korean Population Using CBCT

Facial Soft Tissue Thickness Differences among Three Skeletal Classes in Korean Population Using CBCT

Precision sketching with de-aging networks in forensics

aDNA, ethnography, and facial approximations of the Teouma Lapita burials (c. 3000BP)

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