Three-dimensional (3D) data acquisition and real-time processing is a critical issue in an
artificial vision system. The develo** time-of-flight (TOF) camera as a real-time vision …

In this paper, we describe our approach to optimization of query execution plans in XPRS, a
multiuser parallel database system based on a shared memory multiprocessor and a disk …

We present a calibration method of a time-of-flight (ToF) sensor and a color camera pair to
align the 3D measurements with the color image correctly. We have designed a 2.5 D …

With increasing importance given to tele-rehabilitation, there is a growing need for accurate,
low-cost, and portable motion capture systems that do not require specialist assessment …

Low-cost depth sensors, such as Microsoft Kinect, have potential for noncontact health
monitoring that is robust to ambient lighting conditions. However, captured depth images …

We propose a CMOS image sensor with time-division multiplexing pixel architecture using
standard pinned-photodiode for capturing 2-D color image as well as extracting 3-D depth …

In the last stage of colored point cloud registration, depth measurement errors hinder the
achievement of accurate and visually plausible alignments. Recently, an algorithm has been …

Depth sensors like Microsoft Kinect can acquire partial geometric information in a 3D scene
via captured depth images, with potential application to non-contact health monitoring …

A 3D point cloud is typically constructed from depth measurements acquired by sensors at
one or more viewpoints. The measurements suffer from both quantization and noise …

This paper is the first to propose a deep learning approach for denoising depth images
produced by Time of Flight (ToF) cameras. The noise in ToF depth images is spatially …