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Face Morphing and Substitution for Aid of Autistic Children using Augmented Reality
Objectives: This paper aims at easy training of teacher or day care to a child affected by Autism Spectrum Disorder (ASD) using Face Morphing. The augmented reality with the face morphing provides the better solution for this problem. Method: The Face identification, Feature extraction based on the way points and morphing are illustrated with the live image. When mapping the pixels of source image on the targeted image, an intermediate image will be generated with image transition. Findings: The intermediate image will be tracked back again to the source image, so that over a period of time the targeted image will be the familiar one in the application, which helps the trainer and the child to interact without any sort of difficulty. Applications: The system can be automated by introducing the intelligence in face morphing and blending.
Augmented Reality, Face Morphing, Local Binary Pattern (LBP), Tracking and Waypoints Substitution (FTAS).
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