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2D and 3D Components

2D and 3D Components. of Face Processing:. A mid-level vision analysis. Chen, Kao & Tyler (2007, Cerebral Cortex). Faces from the FERET database, filtered in a 4 th -power Gaussian aperture and normalized to the full contrast range. Scrambling the phase

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2D and 3D Components

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  1. 2D and 3D Components of Face Processing: A mid-level vision analysis Chen, Kao & Tyler (2007, Cerebral Cortex)

  2. Faces from the FERET database, filtered in a 4th-power Gaussian aperture and normalized to the full contrast range

  3. Scrambling the phase destroys the local features global structure but retains the Fourier energy and net activation of linear receptive fields

  4. Zeroing the phase and reflecting destroys the local features global structure but retains the symmetry as well Fourier energy and net linear RF activation

  5. Rotating the face varies the local features and Fourier energy, but retains individuality and emotional recognition

  6. Inverting the face retains all the local features and Fourier energy, but reduces individuality and emotional recognition

  7. R L V1-3 Motion ODS(KO) Symmetry Coherence 0 0.2 0.4 0.6 0.8 1 Threshold Symmetry vs. random activation pattern Activation in mid-lateral occipital regions (replication of Tyler et al., 2005, NeuroImage) vs.

  8. L R V1-3 Motion ODS(KO) Symmetry Occipital face area Fusiform face area IOS depth? Coherence 0 0.2 0.4 0.6 0.8 1 Threshold Face Localizer Faces vs. random activate both ventral and dorsal regions of lateral occipital cortex vs.

  9. L R L Symmetry Occipital face area Fusiform face area IOS component 3D Pose Invariance Ventral face areas are pose-blind, but dorsal symmetry areas are activated vs.

  10. L R vs. L Symmetry Occipital face area Fusiform face area IOS component Facial Inversion Effect Inverting these full-cue faces shows a large facial inversion effect in both ventral and dorsal regions

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