Results 21 to 30 of about 55,131,924 (95)
Dynamic dot displays reveal material motion network in the human brain
NeuroImage, 2021 There is growing research interest in the neural mechanisms underlying the recognition of material categories and properties. This research field, however, is relatively more recent and limited compared to investigations of the neural mechanisms ...
Alexandra C. Schmid +2 more
doaj +1 more source
Sensors, 2019 Recovery of articulated 3D structure from 2D observations is a challenging computer vision problem with many applications. Current learning-based approaches achieve state-of-the-art accuracy on public benchmarks but are restricted to specific types of ...
Onorina Kovalenko +4 more
doaj +1 more source
Drones, 2019 Mangroves provide a variety of ecosystem services, which can be related to their structural complexity and ability to store carbon in the above ground biomass (AGB).
Angus D. Warfield, Javier X. Leon
doaj +1 more source
Registration And Visualisation Of Deformation Maps From Terrestrial Radar Interferometry Using Photogrammetry And Structure From Motion [PDF]
, 2014 This paper describes a general workflow for the registration of terrestrial radar interferometric data with 3D point clouds derived from terrestrial photogrammetry and structure from motion.
Rieke-Zapp, Dirk, Caduff, Rafael
core +1 more source
Example Structure-From-Motion Data
, 2020 Example data for exploring structure-from-motion data from a 100 m x 100 m subset of temperate forest in central Virginia.Data collection and post-processing by:Atticus Stovall, Bailey Costello, and Xi YangDrone: DJI Mavic Pro with onboard RGB ...
Atticus Stovall (6246215)
core +1 more source
Computational structure of a biological motion-detection system as revealed by local detector analysis in the fly's nervous system [PDF]
, 1989 Egelhaaf M, Borst A, Reichardt W. Computational structure of a biological motion-detection system as revealed by local detector analysis in the fly's nervous system. Journal of the Optical Society of America, A: Optics, Image Science, and Vision.
Egelhaaf, M. +5 more
core +1 more source
NLeSC/structure-from-motion: 1.0.2
, 2017 <p>Structure From Motion Pipeline: Constructing 3D Point Clouds From Images</p> <p>Changelog:</p> <ul> <li>Improved documentation</li> <li>Reduced Docker image size by 30%</li> <li>Added codacy ...
Jurriaan H. Spaaks +6 more
core +1 more source
Perceptual Biases in the Interpretation of Non-Rigid Shape Transformations from Motion
VisionMost existing research on the perception of 3D shape from motion has focused on rigidly moving objects. However, many natural objects deform non-rigidly, leading to image motion with no rigid interpretation.
Ryne Choi, Jacob Feldman, Manish Singh
doaj +1 more source
Overview of Underwater 3D Reconstruction Technology Based on Optical Images
Journal of Marine Science and Engineering, 2023 At present, 3D reconstruction technology is being gradually applied to underwater scenes and has become a hot research direction that is vital to human ocean exploration and development.
Kai Hu +6 more
doaj +1 more source
, 2016 <p>This repo contains a complete <em>Structure from Motion</em> pipeline. Structure from Motion is a technique to construct a 3-D point cloud from a set of images (or a video) of an object. The software in this repository relies heavily
Jurriaan H. Spaaks +2 more
core +1 more source