Transparent object perception is a rapidly develo** 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 …

Despite significant research focus on 3D scene capture systems, numerous unresolved
challenges remain in relation to achieving full coverage scene depth estimation which is the …

Three-dimensional image construction and reconstruction plays an important role in various
applications of the real world in the field of computer vision. In the last three decades …

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 …

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 …

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 …

Numerous techniques have been proposed for reconstructing 3D models for opaque objects
in past decades. However, none of them can be directly applied to transparent objects. This …

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