Results 51 to 60 of about 55,134,575 (221)
Structure-from-Motion based vegetation modeling and shade estimation
, 2015 Although three-dimensional (3-D) light dimension and range (LiDAR) point cloud datasets describing the structure of vegetation have proven to be highly useful for ecological modeling, the collection of such data is expensive.
James Nathaniel Balcomb (22014101)
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Incremental Structure from Motion for Small-Scale Scenes Based on Auxiliary Calibration
SensorsScarce feature points are a critical limitation affecting the accuracy and stability of incremental structure from motion (SfM) in small-scale scenes. In this paper, we propose an incremental SfM method for small-scale scenes, combined with an auxiliary ...
Sixu Li +4 more
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Open Geosciences, 2017 The article describes how the Structure-from-Motion (SfM) method can be used to calculate the volume of anthropogenic microtopography. In the proposed workflow, data is obtained using mass-market devices such as a compact camera (Canon G9) and a ...
Wróżyński Rafał +4 more
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Eroding Confidence in Gully Location Risk Prediction in Mine Pit Rehabilitation
Land Degradation &Development, EarlyView.ABSTRACT Understanding how rehabilitation measures, such as landform shaping, and surface finishes impact gully erosion risk could assist in designing less erosive rehabilitation. In this study we use high resolution digital elevation models of rehabilitated mine pits to explore risk factors for gully formation.
Eve McCallum +4 more
wiley +1 more source
MP-SfM: Monocular Surface Priors for Robust Structure-From-Motion
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)While Structure-from-Motion (SfM) has seen much progress over the years, state-of-the-art systems are prone to failure when facing extreme viewpoint changes in low-overlap, low-parallax or high-symmetry scenarios. Because capturing images that avoid these pitfalls is challenging, this severely limits the wider use of SfM, especially by non-expert users.
Zador Pataki +3 more
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Structure from motion (SFM) photogrammetry vs terrestrial laser scanning [PDF]
, 2016 Structure from Motion (SfM) has its roots in the well-established spatial measurement method of photogrammetry, but is becoming increasingly recognised as a means to capture dense 3D data to represent real-world objects, both natural and man- made.
Simon Buckley (7179293) +1 more
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Machine Learning Vegetation Filtering of Coastal Cliff and Bluff Point Clouds
Remote SensingCoastal cliffs erode in response to short- and long-term environmental changes, but predicting these changes continues to be a challenge. In addition to a chronic lack of data on the cliff face, vegetation presence and growth can bias our erosion ...
Phillipe Alan Wernette
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Application of ‘Structure from Motion’ (SfM) technique in physical hydraulic modelling
Journal of Physics: Conference Series, 2019 Abstract There are many methods available for measurement of bed morphology in physical hydraulic model studies considering mobile bed sediment. Among which, there are sophisticated instrumentations which provide quality results in shorter time but are vastly expensive and requires special training for execution. Whereas the conventional
Sanat Kumar Karmacharya +3 more
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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Abstract. The purpose of this research study is to assess the potential using smartphone camera captured images for 3D model reconstruction by using Structure from Motion (SFM) photogrammetry technique, specifically in term of volumetric measurement. In past, the volumetric measurement of surface or object is by using Imaging Station or by professional
E. H. Heng Siong +2 more
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SfM-TTR: Using Structure from Motion for Test-Time Refinement of Single-View Depth Networks [PDF]
, 2023 Estimating a dense depth map from a single view is geometrically ill-posed, and state-of-the-art methods rely on learning depth's relation with visual appearance using deep neural networks.
Civera, Javier, Izquierdo, Sergio
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