This paper presents a literature survey on existing disparity map algorithms. It focuses on
four main stages of processing as proposed by Scharstein and Szeliski in a taxonomy and …

A significant amount of research in the field of stereo vision has been published in the past
decade. Considerable progress has been made in improving accuracy of results as well as …

This paper reviews the state-of-the-art real-time three-dimensional shape measurement
techniques that are capable of reconstructing the dynamic objects. In this review paper, we …

In an automated box de-palletisation system that utilises robots, vision-based box
recognition on the pallet plays the main role in providing picking guidelines. The complexity …

Real-time depth estimation is critical for the increasingly popular augmented reality and
virtual reality applications on mobile devices. Yet existing solutions are insufficient as they …

This paper presents a systematic approach for the 3-D map** of underwater caves.
Exploration of underwater caves is very important for furthering our understanding of …

This paper presents a comparison framework for algorithms that can diminish the effects of
illumination in images. Its main objective is to reveal the positive and negative …

In this paper we introduce a novel approach to single view reconstruction using shape
grammars. Our approach consists in modeling architectural styles using a set of basic …

Dense depth estimation plays a key role in multiple applications such as robotics, 3D
reconstruction, and augmented reality. While sparse signal, eg, LiDAR and Radar, has been …

In stereo matching, Convolutional Neural Networks (CNNs), a class of deep learning models
designed to process grid-like data such as images, have traditionally served as the …