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 …

Explicit construction of families of linear expanders and superconcentrators is relevant to
theoretical computer science in several ways. There is essentially only one known explicit …

There is inter alia a method comprising: partitioning a depth map image into at least one
block; partitioning a texture image into at least one block, wherein the size and position of …

A method for enhancing a depth image of a scene, comprises calculating an enhanced
depth image by blending a first filtered depth image with a second filtered depth image or …

This study presents a real‐time refinement procedure for depth data acquired by RGB‐D
cameras. Data from RGB‐D cameras suffer from undesired artefacts such as edge …

In this paper, we have proposed a novel approach for the reconstruction of real object/scene
with realistic surface geometry using a hand-held, low-cost, RGB-D camera. To achieve …

This paper proposes a unified multi-lateral filter to efficiently increase the spatial resolution
of low-resolution and noisy depth maps in real-time. Time-of-Flight (ToF) cameras have …

We aim at predicting a complete and high-resolution depth map from incomplete, sparse
and noisy depth measurements. Existing methods handle this problem either by exploiting …

The classical multi-image super-resolution model assumes that the super-resolved image is
related to the low-resolution frames by warping, convolution and downsampling. State-of-the …

Multi-frame super-resolution is the process of recovering a high resolution image or video
from a set of captured low resolution images. Super-resolution approaches have been …