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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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RAP3DF - One shoot 3D face dataset.

Rafael Alexandre Piemontez¹, Eros Comunello¹

¹University of Itajaí Valley - UNIVALI, Santa Catarina, Brazil.

|September 30, 2020

Summary

This summary is machine-generated.

Researchers developed a new 3D facial dataset containing visible light, infrared, and 3D images for 64 volunteers. This dataset aids 3D biometrics research by providing multimodal facial data for algorithm training and testing.

Keywords:

3D biometrics 3D faces Depth Image IR Image dataset Kinect one RGB

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Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy

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Published on: November 21, 2016

Area of Science:

Computer Science
Biometrics
Image Processing

Background:

3D biometrics research requires extensive image datasets for algorithm development and testing.
Existing datasets often lack multimodal imaging, specifically combining visible, infrared, and 3D data for the same subjects.
A comprehensive dataset with diverse imaging types is crucial for advancing 3D facial recognition technologies.

Purpose of the Study:

To create a novel 3D facial dataset incorporating visible light, infrared spectrum, and 3D data.
To address the limitations of existing datasets in multimodal facial imaging for 3D biometrics.
To provide a valuable resource for training and evaluating 3D facial recognition algorithms.

Main Methods:

Utilized a Kinect One device for image acquisition.
Collected 267 samples from 64 distinct volunteers.
Acquired frontal facial images and additional images in arbitrary positions for each volunteer, capturing visible, infrared, and 3D data.

Main Results:

Successfully generated a unique 3D facial dataset with synchronized visible, infrared, and 3D imaging.
The dataset comprises 267 samples from 64 individuals, including frontal and varied poses.
This multimodal dataset offers a richer data source compared to existing single-modality datasets.

Conclusions:

The developed 3D facial dataset is a significant contribution to the field of 3D biometrics.
This multimodal dataset will facilitate more robust algorithm development and performance evaluation in facial recognition.
The availability of synchronized visible, infrared, and 3D facial data enhances research capabilities in biometrics.