Results 71 to 80 of about 109,180 (287)
Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs
, 2020 Human visual system relies on both binocular stereo cues and monocular focusness cues to gain effective 3D perception. In computer vision, the two problems are traditionally solved in separate tracks.
A Newell +10 more
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IL‐3 Modulates Microglia Polarization and Attenuates Neuroinflammation in Traumatic Brain Injury
Advanced Science, EarlyView.IL‐3 recruits PRDX1 through IL‐3R to modulate the inflammatory response of microglia via the KEAP1‐NRF2‐HO‐1/NF‐κB pathway to attenuate neuroinflammation in traumatic brain injury. ABSTRACT Microglia play a crucial role in the progression of neuroinflammation following traumatic brain injury (TBI). Interleukin‐3 (IL‐3), a significant regulatory factor,
Nana Huang +18 more
wiley +1 more source
PRECISION 3D SURFACE RECONSTRUCTION FROM LRO NAC IMAGES USING SEMI-GLOBAL MATCHING WITH COUPLED EPIPOLAR RECTIFICATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 The Narrow-Angle Camera (NAC) on board the Lunar Reconnaissance Orbiter (LRO) comprises of a pair of closely attached high-resolution push-broom sensors, in order to improve the swath coverage.
H. Hu, B. Wu
doaj +1 more source
Guided Filtering based Pyramidal Stereo Matching for Unrectified Images [PDF]
, 2015 Stereo matching deals with recovering quantitative depth information from a set of input images, based on the visual disparity between corresponding points. Generally most of the algorithms assume that the processed images are rectified.
Cockshott, William, Xu, Tianrui
core
Advanced Science, EarlyView.Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu +6 more
wiley +1 more source
Refinement of matching costs for stereo disparities using recurrent neural networks
EURASIP Journal on Image and Video Processing, 2021 Depth is essential information for autonomous robotics applications that need environmental depth values. The depth could be acquired by finding the matching pixels between stereo image pairs. Depth information is an inference from a matching cost volume
Alper Emlek, Murat Peker
doaj +1 more source
Semi-Global Stereo Matching with Surface Orientation Priors
, 2017 Semi-Global Matching (SGM) is a widely-used efficient stereo matching technique. It works well for textured scenes, but fails on untextured slanted surfaces due to its fronto-parallel smoothness assumption.
Scharstein, Daniel +2 more
core +1 more source
Advanced Science, EarlyView.This study shows that BLADE‐ON‐PETIOLE (BOP) proteins regulate floral abscission and senescence in tomato by interacting with TFAM1 to form transcriptional condensates controlling the ARABIDOPSIS THALIANA HOMEOBOX GENE 1 (ATH1)‐mediated abscission pathway.
Nan Xiao +7 more
wiley +1 more source
Semantic Edge Based Disparity Estimation Using Adaptive Dynamic Programming for Binocular Sensors
Sensors, 2018 Disparity calculation is crucial for binocular sensor ranging. The disparity estimation based on edges is an important branch in the research of sparse stereo matching and plays an important role in visual navigation.
Dongchen Zhu +5 more
doaj +1 more source
Order statistic filters for image matching [PDF]
, 2001 The rank and census are two filters based on order statistics which have been applied to the image matching problem for stereo pairs. Advantages of these filters include their robustness to radiometric distortion and small amounts of random noise, and ...
Banks, Jasmine
core +1 more source