Results 181 to 190 of about 55,134,654 (225)

AGV navigation in complex environments: A cooperative trajectory optimization strategy based on SMF-MPC. [PDF]

PLoS One
Ding Z, Chen L, Wang J, Qu Q, Chang L, Cheng Y.   +5 more
europepmc   +1 more source

Efficient Mesh Reconstruction and Texturing of Oracle Bones. [PDF]

Sensors (Basel)
De S.
europepmc   +1 more source

DiGS: Depth-Initialized Gaussian Splatting for Single-Object Reconstruction. [PDF]

J Imaging
Meglioraldi J, Cascarano P, Marfia G.
europepmc   +1 more source

Smartphone-Based Automated Photogrammetry for Reconstruction of Residual Limb Models in Prosthetic Design. [PDF]

Sensors (Basel)
De Waele L, Gooijers J, Mantini D.
europepmc   +1 more source

Friction Modeling of Tendon-driven Continuum Robots through Linear Complementarity Problem. [PDF]

IEEE Robot Autom Lett
Shen J, Browne B, Ha J, Chen Y.
europepmc   +1 more source

Three-Dimensional Reconstruction and Real-Time Deformation of Flexible Bodies: A Scoping Review (2009-2025). [PDF]

Sensors (Basel)
Zisu S, Butnariu S.
europepmc   +1 more source

UAV-based mangrove biomass estimation and carbon potential valuation in North Sumatra, Indonesia. [PDF]

Carbon Balance Manag
Basyuni M, Tanjung IL, Slamet B, Ritonga FN, Al Mustaniroh SS, Larekekng SH, Arifanti VB, Iryanthony SB, Sumarga E, Baba S, Salmo Iii SG, Ginting E, Kusumawardani N, Omoto R.   +13 more
europepmc   +1 more source

SfM With MRFs: Discrete-Continuous Optimization for Large-Scale Structure From Motion [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013
Recent work in structure from motion (SfM) has built 3D models from large collections of images downloaded from the Internet. Many approaches to this problem use incremental algorithms that solve progressively larger bundle adjustment problems. These incremental techniques scale poorly as the image collection grows, and can suffer from drift or local ...
David J. Crandall, Noah Snavely, Andrew Owens   +2 more
exaly   +3 more sources

Dense-SfM: Structure From Motion With Dense Consistent Matching

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
We present Dense-SfM, a novel Structure from Motion (SfM) framework designed for dense and accurate 3D reconstruction from multi-view images. Sparse keypoint matching, which traditional SfM methods often rely on, limits both accuracy and point density, especially in texture-less areas.
Sungjoo Yoo
exaly   +5 more sources

Estimation of Hydromorphological Attributes of a Small Forested Catchment by Applying the Structure From Motion (SfM) Approach

International Journal of Applied Earth Observation and Geoinformation, 2018
Abstract Structure from Motion (SfM) represents a good low-cost alternative to generate high resolution topography where LiDAR (Light Detection and Ranging) data is scarce or unaffordable. In this work, we demonstrate the advantages of high resolution elevation models (DEM) obtained using the SfM technique to delineate catchment boundaries and the ...
Luis A. Méndez-Barroso, Agustin Robles-Morua   +1 more
exaly   +3 more sources