Abstract #0359

Reconstructing multi-dimensional face attributes from fMRI signals

Hui Zhang¹, Zixiang Wei², Xueping Wang², and Yunhong Wang³

¹Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), Beihang University, Beijing, China, ²School of Computer Science and Engineering, Beihang University, Beijing, China, ³State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering, Beihang University, Beijing, China

We develop a new framework that can reconstruct the perceived faces from functional MRI signals. Inspired by the psychological evidences that face processing is transmitted along two distinct neuroanatomical visual pathways in human brain, our framework can efficiently extract the multidimensional information of facial expression and facial identity information from functional MRI signals for precise face image reconstruction.

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