scholarly journals Facial identity an investigation of neural encoding and image reconstruction

2014 ◽  
Vol 14 (10) ◽  
pp. 604-604 ◽  
Author(s):  
A. Nestor ◽  
D. Plaut ◽  
M. Behrmann
Keyword(s):  
Image Reconstruction ◽  
Neural Encoding ◽  
Facial Identity

scholarly journals Memory and Perception-based Facial Image Reconstruction

2017 ◽  
Author(s):  
Chi-Hsun Chang ◽  
Dan Nemrodov ◽  
Andy C. H. Lee ◽  
Adrian Nestor
Keyword(s):  
Image Reconstruction ◽  
Visual Memory ◽  
Long Term Memory ◽  
Facial Features ◽  
Identity Recognition ◽  
Facial Identity ◽  
Face Images ◽  
Computer Based ◽  
Novel Applications

AbstractVisual 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 opens the path to novel applications, such as computer-based ‘sketch artists’.

scholarly journals The dynamics of facial identity processing: an EEG-based image reconstruction study

2017 ◽  
Vol 17 (10) ◽  
pp. 1262
Author(s):  
Dan Nemrodov ◽  
Matthias Niemeier ◽  
Ashutosh Patel ◽  
Adrian Nestor
Keyword(s):  
Image Reconstruction ◽  
Facial Identity ◽  
Identity Processing

scholarly journals Picturing Jonah Hill: memory-based image reconstruction of facial identity

2017 ◽  
Vol 17 (10) ◽  
pp. 249
Author(s):  
Chi-Hsun Chang ◽  
Dan Nemrodov ◽  
Andy Lee ◽  
Adrian Nestor
Keyword(s):  
Image Reconstruction ◽  
Facial Identity

scholarly journals The Neural Dynamics of Facial Identity Processing: Insights from EEG-Based Pattern Analysis and Image Reconstruction

eNeuro ◽  
2018 ◽  
Vol 5 (1) ◽  
pp. ENEURO.0358-17.2018 ◽  
Author(s):  
Dan Nemrodov ◽  
Matthias Niemeier ◽  
Ashutosh Patel ◽  
Adrian Nestor
Keyword(s):  
Image Reconstruction ◽  
Pattern Analysis ◽  
Neural Dynamics ◽  
Facial Identity ◽  
Identity Processing

scholarly journals Facial identity encoding, face space structure and neural-based image reconstruction in congenital prosopagnosia.

2016 ◽  
Vol 16 (12) ◽  
pp. 1234
Author(s):  
Dan Nemrodov ◽  
Adrian Nestor ◽  
Galia Avidan ◽  
David Plaut ◽  
Marlene Behrmann
Keyword(s):  
Image Reconstruction ◽  
Space Structure ◽  
Face Space ◽  
Facial Identity ◽  
Congenital Prosopagnosia

Criteria and Methods for Reliable Three-Dimensional Image Reconstruction

1974 ◽  
Vol 32 ◽  
pp. 330-331
Author(s):  
R. A. Crowther
Keyword(s):  
Image Reconstruction ◽  
Finite Number ◽  
Density Distribution ◽  
Electron Micrographs ◽  
Mathematical Problem ◽  
Three Dimensional ◽  
Ideal Case ◽  
Dimensional Image ◽  
General Object ◽  
The Ideal

The reconstruction of a three-dimensional image of a specimen from a set of electron micrographs reduces, under certain assumptions about the imaging process in the microscope, to the mathematical problem of reconstructing a density distribution from a set of its plane projections.In the absence of noise we can formulate a purely geometrical criterion, which, for a general object, fixes the resolution attainable from a given finite number of views in terms of the size of the object. For simplicity we take the ideal case of projections collected by a series of m equally spaced tilts about a single axis.

Three dimensional deblurring of transmitted-light brightfield micrographs

1993 ◽  
Vol 51 ◽  
pp. 564-565
Author(s):  
Santosh Bhattacharyya
Keyword(s):  
Image Reconstruction ◽  
Three Dimensional ◽  
Transmitted Light ◽  
Reconstruction Algorithms ◽  
3D Image Reconstruction ◽  
Structural Details ◽  
Spread Function ◽  
Early Testing ◽  
Linearized Model ◽  
Image Reconstruction Algorithms

Three dimensional microscopic structures play an important role in the understanding of various biological and physiological phenomena. Structural details of neurons, such as the density, caliber and volumes of dendrites, are important in understanding physiological and pathological functioning of nervous systems. Even so, many of the widely used stains in biology and neurophysiology are absorbing stains, such as horseradish peroxidase (HRP), and yet most of the iterative, constrained 3D optical image reconstruction research has concentrated on fluorescence microscopy. It is clear that iterative, constrained 3D image reconstruction methodologies are needed for transmitted light brightfield (TLB) imaging as well. One of the difficulties in doing so, in the past, has been in determining the point spread function of the system.We have been developing several variations of iterative, constrained image reconstruction algorithms for TLB imaging. Some of our early testing with one of them was reported previously. These algorithms are based on a linearized model of TLB imaging.

Ordered subset expectation maximization algorithm for image reconstruction applied to zero-flow or low-flow mimicking brain phantom

2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S678-S678
Author(s):  
Yasuhiro Akazawa ◽  
Yasuhiro Katsura ◽  
Ryohei Matsuura ◽  
Piao Rishu ◽  
Ansar M D Ashik ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Expectation Maximization ◽  
Expectation Maximization Algorithm ◽  
Low Flow ◽  
Brain Phantom ◽  
Zero Flow
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