Search Results for author: Richard Plesh

Found 6 papers, 3 papers with code

Generalizability and Application of the Skin Reflectance Estimate Based on Dichromatic Separation (SREDS)

1 code implementation3 Sep 2023 Joseph Drahos, Richard Plesh, Keivan Bahmani, Mahesh Banavar, Stephanie Schuckers

In this work, we provide a further analysis of the generalizability of the Skin Reflectance Estimate based on Dichromatic Separation (SREDS) against other skin tone metrics and provide a use case for substituting race labels for SREDS scores in a privacy-preserving learning solution.

Face Recognition Privacy Preserving

Empirical Assessment of End-to-End Iris Recognition System Capacity

no code implementations20 Mar 2023 Priyanka Das, Richard Plesh, Veeru Talreja, Natalia Schmid, Matthew Valenti, Joseph Skufca, Stephanie Schuckers

Iris is an established modality in biometric recognition applications including consumer electronics, e-commerce, border security, forensics, and de-duplication of identity at a national scale.

Capacity Estimation Iris Recognition

GlassesGAN: Eyewear Personalization using Synthetic Appearance Discovery and Targeted Subspace Modeling

no code implementations CVPR 2023 Richard Plesh, Peter Peer, Vitomir Štruc

To facilitate the editing process with GlassesGAN, we propose a Targeted Subspace Modelling (TSM) procedure that, based on a novel mechanism for (synthetic) appearance discovery in the latent space of a pre-trained GAN generator, constructs an eyeglasses-specific (latent) subspace that the editing framework can utilize.

High Fidelity Fingerprint Generation: Quality, Uniqueness, and Privacy

1 code implementation21 May 2021 Keivan Bahmani, Richard Plesh, Peter Johnson, Stephanie Schuckers, Timothy Swyka

In this work, we utilize progressive growth-based Generative Adversarial Networks (GANs) to develop the Clarkson Fingerprint Generator (CFG).

Vocal Bursts Intensity Prediction

Fingerprint Presentation Attack Detection utilizing Time-Series, Color Fingerprint Captures

no code implementations8 Apr 2021 Richard Plesh, Keivan Bahmani, Ganghee Jang, David Yambay, Ken Brownlee, Timothy Swyka, Peter Johnson, Arun Ross, Stephanie Schuckers

This paper demonstrates the viability of utilizing a sensor with time-series and color-sensing capabilities to improve the robustness of a traditional fingerprint sensor and introduces a comprehensive fingerprint dataset with over 36, 000 image sequences and a state-of-the-art set of spoofing techniques.

Feature Engineering General Classification +2

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