  Lighting understanding plays an important role in virtual object composition,
including mobile augmented reality (AR) applications. Prior work often targets
recovering lighting from the physical environment to support photorealistic AR
rendering. Because the common workflow is to use a back-facing camera to
capture the physical world for overlaying virtual objects, we refer to this
usage pattern as back-facing AR. However, existing methods often fall short in
supporting emerging front-facing mobile AR applications, e.g., virtual try-on
where a user leverages a front-facing camera to explore the effect of various
products (e.g., glasses or hats) of different styles. This lack of support can
be attributed to the unique challenges of obtaining 360$^\circ$ HDR environment
maps, an ideal format of lighting representation, from the front-facing camera
and existing techniques. In this paper, we propose to leverage dual-camera
streaming to generate a high-quality environment map by combining multi-view
lighting reconstruction and parametric directional lighting estimation. Our
preliminary results show improved rendering quality using a dual-camera setup
for front-facing AR compared to a commercial solution.
