Extraction of three-dimensional structure of a scene from stereo images is a problem that
has been studied by the computer vision community for decades. Early work focused on the …

In this paper, we present an algorithm for fast calculation of the normalized cross correlation
and its application to the problem of template matching. Given a template t, whose position is …

High-precision motion estimation has become essential in ultrasound-based techniques
such as time-domain Doppler and elastography. Normalized cross-correlation (NCC) has …

This paper proposes an area-based stereo algorithm suitable to real time applications. The
core of the algorithm relies on the uniqueness constraint and on a matching process that …

This paper presents an efficient implementation for correlation based stereo. Research in
this area can roughly be divided in two classes: improving accuracy regardless of computing …

This paper presents a fast and reliable stereo matching algorithm which produces a dense
disparity map by using fast cross correlation, rectangular subregioning (RSR) and 3D …

Real-time stereo analysis is an important research area in computer vision. In this context,
we propose a stereo algorithm for an immersive video-conferencing system by which …

To make a matching algorithm to satisfy the requirements of high precision and anti-
interference, a novel stereo-matching algorithm with efficient matching cost and adaptive …

Abstract High-resolution, real-time 3D shape measurement for dynamically deformable
objects has a huge potential for applications in many areas, including entertainment …

Our approaches in this project emphasized mainly the technical aspects of the land-systems
classification problem with neural networks. Using digital elevation, its derivatives, and forest …