Results 81 to 90 of about 19,312 (309)
Shadow‐Calibrated Stereo Vision for Colorimetric Sweat Analysis
Advanced Science, EarlyView.By establishing a mathematical model that reconstructs 3D structures through geometric features of object shadows under controlled illumination, and combining it with Convolutional Neural Network‐based 2D image analysis for volumetric calibration, this work enables highly accurate 3D morphological reconstruction.
Ting Xiao +7 more
wiley +1 more source
Evaluation of Stereo Matching Costs on Close Range, Aerial and Satellite Images
, 2012 In the last years, most dense stereo matching methods use evaluation on the Middlebury stereo vision benchmark datasets. Most recent stereo algorithms were designed to perform well on these close range stereo datasets with relatively small baselines and ...
Butenuth, Matthias +2 more
core
Advanced Science, EarlyView.Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang +3 more
wiley +1 more source
Match-Stereo-Videos: Bidirectional Alignment for Consistent Dynamic Stereo Matching
Dynamic stereo matching is the task of estimating consistent disparities from stereo videos with dynamic objects. Recent learning-based methods prioritize optimal performance on a single stereo pair, resulting in temporal inconsistencies. Existing video methods apply per-frame matching and window-based cost aggregation across the time dimension ...
Junpeng Jing +2 more
openaire +2 more sources
ALStereo: Active learning for stereo matching
With advancements in deep stereo matching, recent networks have achieved impressive accuracy in estimating depth information from image pairs. However, stereo matching networks require sufficient disparity labels, which always come at high annotation ...
Yu, X +6 more
core +1 more source
Advanced Science, EarlyView.SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng +6 more
wiley +1 more source
Stereo Matching in the Presence of Sub-Pixel Calibration Errors
, 2009 Stereo matching commonly requires rectified images that are computed from calibrated cameras. Since all under-lying parametric camera models are only approximations, calibration and rectification will never be perfect.
Hirschmüller, Heiko, Gehrig, Stefan
core
Advanced Science, EarlyView.Single‐cell and spatial profiling of 110 human thoracic aortic samples reveals a stromal–immune circuit driving aortic dissection. An elastin‐rich fibroblast subset is depleted with age and markedly reduced in disease, weakening aortic wall integrity.
Jing Tao +25 more
wiley +1 more source
Image Matching and Outlier Removal For large Scale DSM Generation
, 2010 Digital surface models can be efficiently generated with automatic image matching from optical stereo images. Detailed reconstruction from very high resolution stereo images requires the use of dense stereo matching algorithms, such as Semiglobal ...
d'Angelo, Pablo
core
An evaluation framework for stereo-based driver assistance
, 2012 This is the post-print version of the Article - Copyright @ 2012 Springer VerlagThe accuracy of stereo algorithms or optical flow methods is commonly assessed by comparing the results against the Middlebury database.
Gehrig, S +7 more
core +1 more source