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Memory and Perception-based Facial Image Reconstruction

机译:基于记忆和知觉的面部图像重建

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摘要

Visual memory for faces has been extensively researched, especially regarding the main factors that influence face memorability. However, what we remember exactly about a face, namely, the pictorial content of visual memory, remains largely unclear. The current work aims to elucidate this issue by reconstructing face images from both perceptual and memory-based behavioural data. Specifically, our work builds upon and further validates the hypothesis that visual memory and perception share a common representational basis underlying facial identity recognition. To this end, we derived facial features directly from perceptual data and then used such features for image reconstruction separately from perception and memory data. Successful levels of reconstruction were achieved in both cases for newly-learned faces as well as for familiar faces retrieved from long-term memory. Theoretically, this work provides insights into the content of memory-based representations while, practically, it may open the path to novel applications, such as computer-based ‘sketch artists’.
机译:面部的视觉记忆已得到广泛研究,尤其是影响面部记忆的主要因素。但是,我们确切记得的一张脸,即视觉记忆的图片内容,在很大程度上仍不清楚。当前的工作旨在通过从感知和基于记忆的行为数据中重建人脸图像来阐明这一问题。具体来说,我们的工作建立在并进一步验证了视觉记忆和知觉共享面部身份识别基础的共同表示基础的假设上。为此,我们直接从感知数据中得出面部特征,然后将这些特征与感知和记忆数据分开用于图像重建。对于新学习的脸部以及从长期记忆中检索出的熟悉的脸部,这两种情况均能成功实现重建。从理论上讲,这项工作可以洞悉基于内存的表示形式的内容,而实际上,它可以为新颖的应用程序(例如基于计算机的“素描艺术家”)开辟道路。

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