We present a neural rendering-based method called NeRO for reconstructing the geometry
and the BRDF of reflective objects from multiview images captured in an unknown …

We introduce a system that exploits the screen and front-facing camera of a mobile device to
perform three-dimensional deflectometry-based surface measurements. In contrast to …

Most multi-view 3D reconstruction algorithms, especially when shape-from-shading cues are
used, assume that object appearance is predominantly diffuse. To alleviate this restriction …

3D surface measurement plays an important role in robotics. In this paper, we provide a
highly reflective surface measurement method based on combination of dual stereo …

Non-Lambertian objects present an aspect which depends on the viewer's position towards
the surrounding scene. Contrary to diffuse objects, their features move non-linearly with the …

Most of the widely used multi-view 3D reconstruction algorithms assume that object
appearance is predominantly diffuse and full of good texture. For the objects that violate this …

Mirror surfaces are notoriously difficult to reconstruct. In this paper, we present a novel
computational imaging approach for reconstructing complex mirror surfaces using a dense …

This paper addresses the problem of mirror surface reconstruction, and proposes a solution
based on observing the reflections of a moving reference plane on the mirror surface. Unlike …

The detection of mirrors is a challenging task due to their lack of a distinctive appearance
and the visual similarity of reflections with their surroundings. While existing systems have …

We introduce a system and methods for the three-dimensional measurement of extended
specular surfaces with high surface normal variations. Our system consists only of a mobile …