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To report on the evaluation of error of a face matching system consisting of a 3D sensor for obtaining the surface of the face, and a two‐stage matching algorithm that matches the sensed surface to a model surface.

Rigid mannikin face that was, otherwise, fairly realistic was obtained, and several sensing and matching experiments were performed. Pose position, lighting and face color were controlled.

The combined sensor‐matching system typically reported correct face surface matches with trimmed RMS error of 0.5 mm or less for a generous volume of parameters, including roll, pitch, yaw, position, lighting, and facecolor. Error accelerated beyond this “approximately frontal” set of parameters. Mannikin results are compared to results with thousands of cases of real faces. The sensor accuracy is not a limiting component of the system, but supports the application well.

The sensor supports the application well (except for the current cost). Equal error rates achieved appear to be practical for face verification.

No similar report is known for sensing faces.

Comparative education and international education are central themes in the field of information and communication technology for development (ICT4D). Policies, projects, and practices around technology are often created and enacted based on best practices compared across multiple contexts and disciplines. As such, ICT4D research is at the nexus of understanding how youth can be empowered through technology, teacher pedagogy can be enhanced through technology, and how marginalized communities can leverage technology to leapfrog into the 21st century. In this essay, the authors explore these themes as a way to enforce the synergies among scholars in the fields of ICT4D and comparative and international education.