Results 31 to 40 of about 216,940 (284)

ULTRAMAP: THE ALL IN ONE PHOTOGRAMMETRIC SOLUTION [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
This paper describes in detail the dense matcher developed since years by Vexcel Imaging in Graz for Microsoft’s Bing Maps project. This dense matcher was exclusively developed for and used by Microsoft for the production of the 3D city models of Virtual
A. Wiechert, M. Gruber, K. Karner
doaj   +1 more source

Head CT Image Convolution Feature Segmentation and Morphological Filtering for Densely Matching Points of IoTs

open access: yesIEEE Access, 2020
With the rapid application of medical imaging technology, the number of medical images is increasing and the form is gradually diversified. The management and retrieval of medical images is an urgent problem to solve.
Yao Yao   +3 more
doaj   +1 more source

SFNet: Learning Object-aware Semantic Correspondence [PDF]

open access: yes, 2019
We address the problem of semantic correspondence, that is, establishing a dense flow field between images depicting different instances of the same object or scene category.
Ham, Bumsub   +3 more
core   +3 more sources

Integration of prior knowledge into dense image matching for video surveillance [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
Three-dimensional information from dense image matching is a valuable input for a broad range of vision applications. While reliable approaches exist for dedicated stereo setups they do not easily generalize to more challenging camera configurations.
M. Menze, C. Heipke
doaj   +1 more source

UAV image matching of mountainous terrain using the LoFTR deep learning model

open access: yesFrontiers in Earth Science, 2023
In natural terrain scene UAV image matching, traditional feature point-based methods often have problems such as an unstable number of extracted feature points, difficulty in detecting feature points in weak texture areas, uneven distribution, and low ...
Huilin Zong   +8 more
doaj   +1 more source

Area-Based Dense Image Matching with Subpixel Accuracy for Remote Sensing Applications: Practical Analysis and Comparative Study

open access: yesRemote Sensing, 2020
Dense image matching is a crucial step in many image processing tasks. Subpixel accuracy and fractional measurement are commonly pursued, considering the image resolution and application requirement, especially in the field of remote sensing.
Zhen Ye   +5 more
doaj   +1 more source

Point-wise Map Recovery and Refinement from Functional Correspondence [PDF]

open access: yes, 2015
Since their introduction in the shape analysis community, functional maps have met with considerable success due to their ability to compactly represent dense correspondences between deformable shapes, with applications ranging from shape matching and ...
Cremers, Daniel   +2 more
core   +2 more sources

USE OF HISTORICAL AERIAL IMAGES FOR 3D MODELLING OF GLACIERS IN THE PROVINCE OF TRENTO [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Historical aerial images represent a source of information of great value for glacier monitoring, as they cover the area of interest at a well-defined epoch and allow for visual interpretation and metric analysis. Typically, the aerial images are used to
D. Poli   +5 more
doaj   +1 more source

MINDFLOW BASED DENSE MATCHING BETWEEN TIR AND RGB IMAGES [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Abstract. Image registration is a fundamental issue in photogrammetry and remote sensing, which targets to find the alignment between different images. Recently, registration of images from difference sensors become the hot topic. The registered images from different sensors are able to offer additional information, which help with different tasks like
J. Zhu   +5 more
openaire   +3 more sources

SCNet: Learning Semantic Correspondence [PDF]

open access: yes, 2017
This paper addresses the problem of establishing semantic correspondences between images depicting different instances of the same object or scene category.
Cho, Minsu   +6 more
core   +5 more sources

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