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 …

High-quality real-time stereo matching has the potential to enable various computer vision
applications including semi-automated robotic surgery, teleimmersion, and 3-D video …

Handbook of deep learning applications Smart Innovation, Systems and Technologies 136
Valentina Emilia Balas Sanjiban Sekhar Roy Dharmendra Sharma Pijush Samui Editors …

In recent years, local stereo matching algorithms have again become very popular in the
stereo community. This is mainly due to the introduction of adaptive support weight …

The attention mechanisms in deep neural networks are inspired by human's attention that
sequentially focuses on the most relevant parts of the information over time to generate …

Recent local stereo matching algorithms based on an adaptive-weight strategy achieve
accuracy similar to global approaches. One of the major problems of these algorithms is that …

Binocular stereo matching is one of the most important algorithms in the field of computer
vision. Adaptive support-weight approaches, the current state-of-the-art local methods …

This paper describes a method to reconstruct high-speed absolute three-dimensional (3D)
geometry using only three encoded 1-bit binary dithered patterns. Because of the use of 1 …

This paper presents a novel method for performing an efficient cost aggregation in stereo
matching. The cost aggregation problem is re-formulated with a perspective of a histogram …