Light field imaging has emerged as a technology allowing to capture richer visual
information from our world. As opposed to traditional photography, which captures a 2D …

Transparent and semi-transparent materials pose significant challenges for existing scene
understanding and segmentation algorithms due to their lack of RGB texture which impedes …

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

We demonstrate that the redundant information in light field imagery allows volumetric focus,
an improvement of signal quality that maintains focus over a controllable range of depths. To …

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 …

Feature detectors and descriptors are key low-level vision tools that many higher-level tasks
build on. Unfortunately these fail in the presence of challenging light transport effects …

We propose a learning-based framework for acquiring a light field through a coded aperture
camera. Acquiring a light field is a challenging task due to the amount of data. To make the …

This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …

Aiming at accelerating the creation of new techniques on dexterous robotic manipulations,
this paper surveyed the recent results on object recognition, soft robotic hands, and …

Transparent objects with unique visual properties often make depth cameras fail to scan
their reflective and refractive surfaces. Recent studies on depth completion of transparent …