Results 41 to 50 of about 2,115,498 (294)

Structure from Articulated Motion: Accurate and Stable Monocular 3D Reconstruction without Training Data

open access: yesSensors, 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

Underwater 3D Reconstruction from Video or Still Imagery: Matisse and 3DMetrics Processing and Exploitation Software

open access: yesJournal of Marine Science and Engineering, 2023
This paper addresses the lack of “push-button” software for optical marine imaging, which currently limits the use of photogrammetric approaches by a wider community.
Aurélien Arnaubec   +5 more
doaj   +1 more source

Perceptual Biases in the Interpretation of Non-Rigid Shape Transformations from Motion

open access: yesVision
Most 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

Estimating Mangrove Forest Volume Using Terrestrial Laser Scanning and UAV-Derived Structure-from-Motion

open access: yesDrones, 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

Multi-body Non-rigid Structure-from-Motion [PDF]

open access: yes, 2016
Conventional structure-from-motion (SFM) research is primarily concerned with the 3D reconstruction of a single, rigidly moving object seen by a static camera, or a static and rigid scene observed by a moving camera --in both cases there are only one ...
Dai, Yuchao   +2 more
core   +2 more sources

Structure from stereo and motion [PDF]

open access: yesJournal of the Optical Society of America A, 1985
Stereopsis and motion parallax are two methods for recovering three-dimensional (3D) shapes. Theoretical analyses of each method show that neither alone can recover rigid 3D shapes correctly unless other information, such as perspective and vertical disparity, is included.
openaire   +2 more sources

Structure from Motion on a Sphere

open access: yes, 2016
We describe a special case of structure from motion where the camera rotates on a sphere. The camera's optical axis lies perpendicular to the sphere's surface. In this case, the camera's pose is minimally represented by three rotation parameters.
Ventura, Jonathan
core   +1 more source

Learning 3D Human Pose from Structure and Motion

open access: yes, 2018
3D human pose estimation from a single image is a challenging problem, especially for in-the-wild settings due to the lack of 3D annotated data. We propose two anatomically inspired loss functions and use them with a weakly-supervised learning framework ...
A Newell   +16 more
core   +1 more source

Seeing Tree Structure from Vibration

open access: yes, 2018
Humans recognize object structure from both their appearance and motion; often, motion helps to resolve ambiguities in object structure that arise when we observe object appearance only.
A French   +33 more
core   +1 more source

An alternative view on the Bateman-Luke variational principle [PDF]

open access: yes, 2019
A new derivation of the Bernoulli equation for water waves in three-dimensional rotating and translating coordinate systems is given. An alternative view on the Bateman-Luke variational principle is presented.
Ardakani, Hamid Alemi
core   +2 more sources

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