This paper proposes an adaptive color-guided autoregressive (AR) model for high quality
depth recovery from low quality measurements captured by depth cameras. We observe and …

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 …

In this paper we present an efficient hole filling strategy that improves the quality of the depth
maps obtained with the Microsoft Kinect device. The proposed approach is based on a joint …

Depth maps are crucial for many visual applications, where they represent the positioning
information of the objects in a three‐dimensional scene. Usually, depth maps can be …

Microsoft's Kinect as a recent 3D sensor has attracted considerable research attention in the
fields of computer vision and pattern recognition. But its depth image suffers from the …

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 …

Underwater optical cameras are widely used for security monitoring in ocean, such as
earthquake prediction and tsunami alarming. Optical cameras recognize objects for …

We address plausible hole filling in depth images in a computationally lightweight
methodology that leverages recent advances in semantic scene segmentation. Firstly, we …

In this paper, we present a system for 3D object detection and recognition with an enhanced
depth estimation algorithm. The system is based on Microsoft Kinect and it uses state of the …

The depth data provided by Kinect is incomplete because of no-measured depth (NMD for
short) pixels, so a preprocessing approach for depth map is necessary. In this paper, a depth …