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 …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

High performance approximate adders typically comprise of multiple smaller sub-adders,
carry prediction units and error correction units. In this paper, we present a low-latency …

The purpose of this paper is to introduce and quickly make a reader familiar with OpenCV
(Open Source Computer Vision) basics without having to go through the lengthy reference …

Image thresholding is a common task in many computer vision and graphics applications.
The goal of thresholding an image is to classify pixels as either" dark" or" light." Adaptive …

We present a new window-based method for correspondence search using varying support-
weights. We adjust the support-weights of the pixels in a given support window based on …

We propose an area-based local stereo matching algorithm for accurate disparity estimation
across all image regions. A well-known challenge to local stereo methods is to decide an …

In this paper, we formulate a stereo matching algorithm with careful handling of disparity,
discontinuity and occlusion. The algorithm works with a global matching stereo model based …

Computer vision encompasses the construction of integrated vision systems and the
application of vision to problems of real-world importance. The process of creating 3D …