Results 31 to 40 of about 373,543 (263)

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

3-D Reconstruction of Rock Samples via Structure-From-Motion for Virtual Reality Applications: A Methodological Proposal

open access: yesGeosciences, 2022
This article presents a methodological proposal for the three-dimensional reconstruction of rock samples via structure-from-motion. The presented methodological steps aimed to provide a reproducible workflow to create virtual rock samples to be applied ...
Leonardo Campos Inocencio   +6 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

A survey of structure from motion.

open access: yesActa Numerica, 2017
The structure from motion (SfM) problem in computer vision is to recover the three-dimensional (3D) structure of a stationary scene from a set of projective measurements, represented as a collection of two-dimensional (2D) images, via estimation of motion of the cameras corresponding to these images. In essence, SfM involves the three main stages of (i)
Özyeşil, Onur   +3 more
openaire   +3 more sources

Metamerisms in Structure-from-motion Perception

open access: yesVision Research, 1996
As a three-dimensional object is moving through our world, we generally obtain a vivid impression of both its structure and its motion through space. The time-course of two-dimensional projections of the scene (optic flow) is important in conveying this three-dimensional information to us. The extent to which we can solve this specific inverse problem,
Veen, H.A.H.C. van, Werkhoven, P.
openaire   +3 more sources

Preferences of Pediatric Patients and Their Caregivers for Chemotherapy‐Induced Nausea and Vomiting Control Endpoints: A Mixed Methods Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman   +8 more
wiley   +1 more source

Understanding gully erosion development through a geomorphological approach

open access: yesSoil and Water Research
This study aims to identify the gully erosion typology and development using a geomorphological approach. Gully geomorphology features were executed using combined photogrammetric approaches: aerial photography (unmanned aerial vehicle, UAV) and ...
Edwin Maulana   +2 more
doaj   +1 more source

Terrestrial Image-Based Point Clouds for Mapping Near-Ground Vegetation Structure: Potential and Limitations

open access: yesFire, 2020
Site-specific information concerning fuel hazard characteristics is needed to support wildfire management interventions and fuel hazard reduction programs.
Luke Wallace   +4 more
doaj   +1 more source

Deep Non-Rigid Structure From Motion [PDF]

open access: yes2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
Current non-rigid structure from motion (NRSfM) algorithms are mainly limited with respect to: (i) the number of images, and (ii) the type of shape variability they can handle. This has hampered the practical utility of NRSfM for many applications within vision.
Kong, Chen, Lucey, Simon
openaire   +2 more sources

Home - About - Disclaimer - Privacy