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 …

One of the main challenges for computer-assisted surgery (CAS) is to determine the intra-
operative morphology and motion of soft-tissues. This information is prerequisite to the …

Problems such as low light, similar background colors, and noisy image acquisition often
occur when collecting images of lunar surface obstacles. Given these problems, this study …

This paper presents a new hardware-oriented approach for the extraction of disparity maps
from stereo images. The proposed method is based on the herein named Adaptive Census …

The visual cortex is able to extract disparity information through the use of binocular cells.
This process is reflected by the Disparity Energy Model, which describes the role and …

以摄影测量为应用背景, 综述了双目影像密集匹配方法. 首先借助图表对局部密集匹配与全局
密集匹配两类方法进行了简明的比较, 指出各类方法的优缺点以及面临的主要挑战; …

Stereo vision is a crucial operation in state-of-the-art computer vision applications. Several
efficient algorithms have been recently proposed either to increase the quality of the …

Gradient similarity is a simple, yet powerful, data descriptor which shows robustness in
stereo matching. In this paper, a RGB vector space is defined for stereo matching. Based on …

Local stereo algorithms are preferred for real-time applications due to their computational
efficiency. Deciding the size of the required local support region is a challenging task. It fails …