Results 101 to 110 of about 19,312 (309)
, 2010 The generation of digital surface models (DSM) of urban areas from very high resolution (VHR) stereo satellite imagery requires advanced methods. In the classical approach of DSM generation from stereo satellite imagery, interest points are extracted and
Reinartz, Peter, Krauß, Thomas
core
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Advanced Intelligent Discovery, EarlyView.Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Applied SciencesThis paper addresses the problem of selecting data for learning stereo matching algorithms. The paper presents an overview of currently available learning datasets, including synthetic data and data from real environments.
Adam L. Kaczmarek
doaj +1 more source
Stereo Matching Based on Improved Graph Cut
, 2009 In this article, an improved method is proposed in order to reduce the time consuming of stereo matching method based on improved graph cut, we construct a reduced graph: only some potential values in the disparity range are selected for each pixel ...
Xu F(徐方) +2 more
core +1 more source
Advanced Intelligent Systems, EarlyView.This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
Adaptive rank transform for stereo matching
, 2011 Window selection is the main challenge for local stereo matching methods based on the rank transform and it involves two aspects: the rank window selection and the match window selection.
Du YK(杜英魁) +2 more
core
Advanced Intelligent Systems, EarlyView.A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang +3 more
wiley +1 more source
A Relation-Geometry Enhanced Network for Stereo Matching of Optical Satellite Stereo Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe height information of complex urban scenes is essential for urban understanding and 3-D reconstruction. Fine-grained stereo matching results provide detailed height relation of urban scenes, which is vital for localization, mapping, and 3-D object ...
Yang Lei, Wanshou Jiang
doaj +1 more source
Enhancing Stereo Matching With Classification
IEEE Access, 2014 This paper presents a novel approach that employs classification to enhance the accuracy of the stereo matching problem. First, the images are treated in order to improve their pixel to pixel correspondence and reduce illumination differences. After that, stereo matching is addressed using different methods with emphasis on local ones like the sum of ...
Mohammed Baydoun +1 more
openaire +2 more sources
Pre‐Curved Everting Robots With Embedded Steering Intelligence Fabricated by CO2 Laser Welding
Advanced Intelligent Systems, EarlyView.Design and experimental demonstration of a laser welded growing robot for anatomically guided navigation. The robot follows an aortic arch phantom entering the branchiocephalic branch through steering by design. The figure shows the physical phantom setup, CAD defined weld geometry and full robot eversion.
Brandon Saldarriaga +5 more
wiley +1 more source