Results 61 to 70 of about 24,465 (223)
Rough or Noisy? Metrics for Noise Estimation in SfM Reconstructions
Structure from Motion (SfM) can produce highly detailed 3D reconstructions, but distinguishing real surface roughness from reconstruction noise and geometric inaccuracies has always been a difficult problem to solve.
Ivan Nikolov, Claus Madsen
doaj +1 more source
TC-SfM: Robust Track-Community-Based Structure-From-Motion
Structure-from-Motion (SfM) aims to recover 3D scene structures and camera poses based on the correspondences between input images, and thus the ambiguity caused by duplicate structures (i.e., different structures with strong visual resemblance) always results in incorrect camera poses and 3D structures.
Lei Wang 0025 +5 more
openaire +3 more sources
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
New metric products, movies and 3D models from old stereopairs and their application to the in situ palaeontological site of Ambrona [PDF]
[ES] Este artículo está basado en la información del siguiente proyecto:● LDGP_mem_006-1: "[S_Ambrona_Insitu] Levantamiento fotogramétrico del yacimiento paleontológico “Museo in situ” de Ambrona (Soria)", http://hdl.handle.net/10810/7353● LDGP_mem_006-1:
Lopetegi Galarraga, Ane +5 more
core +1 more source
MASt3R-SfM: A Fully-Integrated Solution for Unconstrained Structure-from-Motion
Structure-from-Motion (SfM), a task aiming at jointly recovering camera poses and 3D geometry of a scene given a set of images, remains a hard problem with still many open challenges despite decades of significant progress. The traditional solution for SfM consists of a complex pipeline of minimal solvers which tends to propagate errors and fails when ...
Bardienus Pieter Duisterhof +5 more
openaire +2 more sources
This article proposes NIRGB‐GS, a multimodal 3DGS variant that enables reliable 3D reconstruction and normal‐light novel‐view synthesis for extremely low‐light scenes by fusing paired near‐infrared and noisy RGB captures. High‐SNR near‐infrared modality and modality‐specific appearance encoding together resolve the issues of unstable pose/geometry ...
Chengyun Yang +3 more
wiley +1 more source
Learning Single-Image Depth from Videos using Quality Assessment Networks
Depth estimation from a single image in the wild remains a challenging problem. One main obstacle is the lack of high-quality training data for images in the wild.
Chen, Weifeng, Deng, Jia, Qian, Shengyi
core +1 more source
MP-SfM: Monocular Surface Priors for Robust Structure-From-Motion
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
openaire +2 more sources
An elastic segment was found in the basal part of the whisker shaft in rats and mice. Application of force to the whisker bulb of isolated follicles caused bending and twisting of this segment. Active whisker movements deform this segment, causing whisker shaft deflection and selective activation of mechanoreceptors at different phases of whisking ...
Sebastian Haidarliu +4 more
wiley +1 more source
ACCURACY OF 3D RECONSTRUCTION IN AN ILLUMINATION DOME [PDF]
The accuracy of 3D surface reconstruction was compared from image sets of a Metric Test Object taken in an illumination dome by two methods: photometric stereo and improved structure-from-motion (SfM), using point cloud data from a 3D colour laser ...
L. MacDonald +5 more
doaj +1 more source

