Search results for " Structure-from-Motion"

showing 2 items of 2 documents

Predicting sediment deposition rate in check-dams using machine learning techniques and high-resolution DEMs

2021

Sediments accumulated in check dams are a valuable measure to estimate soil erosion rates. Here, geographic information systems (GIS) and three machine learning techniques (MARS-multivariate adaptive regression splines, RF-random forest and SVM-support vector machine) were used, for the first time, to predict sediment deposition rate (SR) in check-dams located in six watersheds in SW Spain. There, 160 dry-stone check dams (~ 77.8 check-dams km−2), accumulated sediments during a period that varied from 11 to 23 years. The SR was estimated in former research using a topographical method and a high-resolution Digital Elevation Model (DEM) (average of 0.14 m3 ha−1 year−1). Nine environmental-to…

Mean squared error0208 environmental biotechnologyMean absolute errorSoil ScienceHigh resolution02 engineering and technology010501 environmental sciencesMachine learningcomputer.software_genre01 natural sciencesEnvironmental ChemistryDigital elevation model0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyGlobal and Planetary ChangeMultivariate adaptive regression splinesbusiness.industryGeologyMars Exploration ProgramPollution020801 environmental engineeringCheck dam Machine learning techniques Sediment deposition rate (SR) Structure-from-motion (SfM) Unmanned aerial vehicle (UAV)Support vector machineArtificial intelligencebusinesscomputerCheck dam
researchProduct

Fast adaptive frame preprocessing for 3D reconstruction

2015

Abstract: This paper presents a new online preprocessing strategy to detect and discard ongoing bad frames in video sequences. These include frames where an accurate localization between corresponding points is difficult, such as for blurred frames, or which do not provide relevant information with respect to the previous frames in terms of texture, image contrast and non-flat areas. Unlike keyframe selectors and deblurring methods, the proposed approach is a fast preprocessing working on a simple gradient statistic, that does not require to compute complex time-consuming image processing, such as the computation of image feature keypoints, previous poses and 3D structure, or to know a prio…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDeblurringSettore INF/01 - Informaticabusiness.industryComputer scienceFrame (networking)3D reconstructionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONReprojection errorAdaptive frame selectionImage processingFilter (signal processing)Adaptive Frame Selection Blur Detection SLAM Structure-from-MotionBlur detectionFeature (computer vision)SLAMComputer visionArtificial intelligencebusinessImage gradientStructure-from-motion
researchProduct