Supervising the New with the Old: Learning SFM from SFM [PDF]
, 2018 Recent work has demonstrated that it is possible to learn deep neural networks for monocular depth and ego-motion estimation from unlabelled video sequences, an interesting theoretical development with numerous advantages in applications. In this paper, we propose a number of improvements to these approaches.
Maria Klodt, Andrea Vedaldi
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Multi-body Non-rigid Structure-from-Motion [PDF]
, 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
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Sedimentological characterization of Antarctic moraines using UAVs and Structure-from-Motion photogrammetry [PDF]
, 2015 In glacial environments particle-size analysis of moraines provides insights into clast origin, transport history, depositional mechanism and processes of reworking.
Matthew J. Westoby +19 more
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Evaluating the Application of Close-Range Photogrammetry in Determining the Horizontal Displacement of High Structural Elements - A Case Study of the Thermal Station at Tishreen University [PDF]
JES: Journal of Engineering SciencesLarge horizontal displacements and tilts in tall structural elements such as towers and factory chimneys resulting from soil movement or earthquakes may lead to their collapse.
Ahmed EL ashiry, Omar Elkhalil
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Coding of Small Sinusoidal Frequency and Amplitude Modulations in the Inferior Colliculus of 'CF-FM' Bat, Rhinolophus Ferrumequinum [PDF]
, 1979 Single neurons in the inferior colliculus of the Greater Horseshoe bat, Rhinolophus ferrumequinum, showed two broad categories of response patterns to sinusoidally frequency (SFM) or amplitude (SAM) modulated stimuli.
Schuller, Gerd
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Aboveground biomass estimation in linear forest objects: 2D- vs. 3D-data
Journal of Forest Science, 2018 Wood-chips of linear forest objects (hedge banks and roadside plantings) are used as sustainable energy supply in wood-chip heating systems. However, wood yield of linear forest objects is very heterogeneous and hard to estimate in advance.
Stefan LINGNER +2 more
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A Skeletal Camera Network for Close-range Images with a Data Driven Approach in Analyzing Stereo Configuration [PDF]
Journal of Geodesy and Geoinformation Science, 2022 Structure-from-Motion (SfM) techniques have been widely used for 3D geometry reconstruction from multi-view images. Nevertheless, the efficiency and quality of the reconstructed geometry depends on multiple factors, i.e., the base-height ratio ...
Zhihua XU,Lingling QU
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Suitability of ground-based SfM-MVS for monitoring glacial and periglacial processes [PDF]
, 2016 Photo-based surface reconstruction is rapidly emerging as an alternative survey technique to lidar (light detection and ranging) in many fields of geoscience fostered by the recent development of computer vision algorithms such as structure from motion ...
Carturan, Luca +6 more
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Remote Sensing, 2020 Although aerial image-based bathymetric mapping can provide, unlike acoustic or LiDAR (Light Detection and Ranging) sensors, both water depth and visual information, water refraction poses significant challenges for accurate depth estimation. In order to
Panagiotis Agrafiotis +3 more
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Digital Business, 2023 Under the umbrella of Industry 4.0 (I4.0), manufacturing companies have implemented various digital solutions, improving productivity. Shop floor management (SFM) is the core management instrument in manufacturing and is a precondition for implementing ...
Pernille Clausen
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