The florence 2D/3D hybrid face dataset

J-HGBU '11 Pub Date : 2011-12-01 DOI:10.1145/2072572.2072597
Andrew D. Bagdanov, A. Bimbo, I. Masi
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引用次数: 137

Abstract

This article describes a new dataset under construction at the Media Integration and Communication Center and the University of Florence. The dataset consists of high-resolution 3D scans of human faces along with several video sequences of varying resolution and zoom level. Each subject is recorded under various scenarios, settings and conditions. This dataset is being constructed specifically to support research on techniques that bridge the gap between 2D, appearance-based recognition techniques, and fully 3D approaches. It is designed to simulate, in a controlled fashion, realistic surveillance conditions and to probe the efficacy of exploiting 3D models in real scenarios.
佛罗伦萨2D/3D混合人脸数据集
本文描述了媒体集成与传播中心和佛罗伦萨大学正在构建的一个新数据集。该数据集包括人脸的高分辨率3D扫描,以及几个不同分辨率和缩放级别的视频序列。每个受试者在不同的场景、设置和条件下被记录下来。该数据集的构建专门用于支持在2D,基于外观的识别技术和完全3D方法之间架起桥梁的技术研究。它旨在以可控的方式模拟现实的监视条件,并探索在真实场景中利用3D模型的功效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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