Transparent object perception is a rapidly developing research problem in artificial
intelligence. The ability to perceive transparent objects enables robots to achieve higher …

We present RF-Capture, a system that captures the human figure--ie, a coarse skeleton--
through a wall. RF-Capture tracks the 3D positions of a person's limbs and body parts even …

Abstract Recently, the new Kinect One has been issued by Microsoft, providing the next
generation of real-time range sensing devices based on the Time-of-Flight (ToF) principle …

In the field of industrial metrology, there is a rising need for 3D information at a very high
resolution for micro-measurements and quality control of transparent objects such as glass …

Recovering the 3D shape of transparent objects using a small number of unconstrained
natural images is an ill-posed problem. Complex light paths induced by refraction and …

The segmentation of transparent objects can be very useful in computer vision applications.
However, because they borrow texture from their background and have a similar …

We tackle the problem of generating novel-view images from collections of 2D images
showing refractive and reflective objects. Current solutions assume opaque or transparent …

We present a novel method called NeTO, for capturing the 3D geometry of solid transparent
objects from 2D images via volume rendering. Reconstructing transparent objects is a very …

Capturing the 3D geometry of transparent objects is a challenging task, ill-suited for general-
purpose scanning and reconstruction techniques, since these cannot handle specular light …

We present a novel technique for acquiring the geometry and spatially-varying reflectance
properties of 3D objects by observing them under continuous spherical harmonic …