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Ioannis Kakadiaris, Distinguished University Professor of Computer Science at the University of Houston, presents the "AI-powered Identity: Evaluating Face Recognition Capabilities" tutorial at the May 2019 Embedded Vision Summit.

Following the deep learning renaissance, the face recognition community has achieved remarkable results when comparing images that are both frontal and non-occluded. However, significant challenges remain in the presence of variations in pose, expression, illumination and occlusions. Kakadiaris' presentation highlights the state-of-the-art in face recognition and provides insights on how to properly evaluate and select face recognition modules for embedded systems.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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