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Dense stereo matching has been extensively studied in photogrammetry and computer vision. In this paper we evaluate the application of deep learning based stereo methods, which were raised from 2016 a...
Stereo matching generating accurate and dense disparity maps is an indispensable technique for 3D exploitation of imagery in the fields of Computer vision and Photogrammetry. Although numerous solutio...
Global algorithms currently represent the state-of-the-art in dense stereo matching. These methods first set up an energy function.The energy function is then subject to optimization, which is t...
A Digital Surface Model (DSM) generated by automatic stereo matching of convergent image networks includes a great number of 3D-points that come from diverse combinations of stereo-pairs. This points...
It is well known that the correlation stereo matching algorithms are the basis of most of digital photogrammetric systems. This paper concerns the important problem of increasing of computational sp...
In this paper, we propose an adaptive stereo matching algorithm to encompassing stereo matching problems in projective distortion region. Since the projective distortion region can not be estimated ...
An approach for parallel-sequential binocular stereo matching is presented. It is based on discrete dynamical models which can be implemented in neural multi-layer networks. It is based on the idea ...
In order to acquire 3D spatial data for objects using stereo image, stereo matching such as SSDA, area based matching and so on have been proposed. However, there are some issues for efficient 3D obje...
A parallel stereo matching algorithm is presented which is mainly thought for the processing of images from pushbroom stereo cameras. The algorithm is designed for non-epipolar geometry, because of di...
This paper investigates into the added value of color information for edge extraction and straight edge segment matching between stereo views. For edge extraction in color images different methods pro...
In recent years, a demand for 3D models of various scales and precisions has been growing for a wide range of applications; among them, cultural heritage recording is a particularly important and ch...
UAVs are becoming standard platforms for applications aiming at photogrammetric data capture. Since these systems can be completely built-up at very reasonable prices, their use can be very cost effec...
Defining pixel correspondences in stereo-pairs is a fundamental process in automated image-based 3D reconstruction. In this contribution we report on an approach for dense matching, based on local opt...
This paper presents algorithms and investigations on the automated detection, classification and mapping of road signs which systematically exploit depth information from stereo images. This approac...
Digital surface models can be efficiently generated with automatic image matching from optical stereo images. The Working Group 4 of Commission I on “Geometric and Radiometric Modelling of Opti...

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