structure from motion
PulseAugur coverage of structure from motion — every cluster mentioning structure from motion across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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New method corrects underwater camera distortion for accurate 3D mapping
Researchers have developed a new method to correct for image distortion caused by underwater camera housings. This technique, applied in image space, addresses the 'bowl-shaped' deformation that compromises the accuracy…
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New framework solves state estimation for nonlinear systems with unknown inputs
Researchers have developed a novel structural solution for estimating the states of nonlinear systems with unknown inputs. This approach introduces the UID-induced normal form, which decomposes the influence of unknown …
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SkyAnchor updates 3D aerial scenes with ground-view imagery
Researchers have developed SkyAnchor, a novel method for updating large-scale 3D aerial scenes with ground-level imagery. This approach uses an existing 3D Gaussian Splatting model and Structure-from-Motion reconstructi…
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New deep learning framework enhances Structure from Motion accuracy
Researchers have developed a novel deep learning framework for Structure from Motion (SfM) that utilizes a permutation-equivariant, edge-conditioned graph neural network. This method takes noisy pairwise relative camera…
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BLASt3R framework enhances Structure-from-Motion systems with multi-view matching and monocular priors
Researchers have developed BLASt3R, a novel bundle adjustment framework designed for Structure-from-Motion (SfM) systems. This framework integrates a fast multi-view matcher with monocular priors to enhance both online …
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New HiSfM framework improves Structure-from-Motion robustness and efficiency
Researchers have developed HiSfM, a novel hierarchical framework for Structure-from-Motion (SfM) that enhances robustness and efficiency. This method addresses challenges posed by visual ambiguity in repeated or symmetr…
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Small UAVs achieve high-fidelity 3D object reconstruction
Researchers have developed a novel system enabling small, sub-100-gram unmanned aerial vehicles (UAVs) to autonomously perform high-fidelity 3D reconstruction of static objects. The system features a closed-loop active …
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New framework aligns underwater optical and acoustic sonar maps
Researchers have developed a new framework to improve underwater mapping by co-registering optical and acoustic imagery. This method uses Structure-from-Motion (SfM) to create a 3D seafloor mesh, which acts as a geometr…
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New SfM method prunes view graphs for robust 3D reconstruction
Researchers have developed a new framework for robust global Structure-from-Motion (SfM) that addresses the sensitivity of existing methods to erroneous edges in the view graph. This novel approach partitions the view g…
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New ORBIT++ benchmark challenges Structure-from-Motion methods
Researchers have introduced ORBIT++, a new benchmark designed to evaluate Structure-from-Motion (SfM) methods in challenging real-world conditions. The benchmark leverages 360-degree panoramic videos to create perspecti…
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New photogrammetry method offers high-resolution 3D defect analysis for rubberised concrete
Researchers have developed a new photogrammetry workflow using high-resolution images from a Canon DSLR and an iPhone 16 to create detailed 3D models of rubberised concrete. This method offers a sub-millimetre resolutio…
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New Misanthrope detector enhances privacy in image matching
Researchers have developed Misanthrope, a new keypoint detector designed to enhance privacy in image matching applications like SLAM and SfM. Unlike traditional methods that can be vulnerable to inversion attacks reveal…
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New GS-Net module boosts autonomous vehicle data reuse with faster 3DGS
Researchers have developed GS-Net, a novel module designed to enhance data reuse across different autonomous vehicles. This plug-and-play system aggregates geometric context from sparse Structure-from-Motion point cloud…
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New SfM method boosts aerial-ground 3D reconstruction accuracy
Researchers have developed a novel approach for robust structure from motion (SfM) in aerial and ground imagery, addressing challenges posed by significant viewpoint and scale variations. Their method integrates a rotat…
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Structure from motion reconstructs 3D scenes from photos
Structure from motion (SfM) is a technique used to reconstruct 3D scenes from a collection of 2D photographs. The process involves several key steps: detecting repeatable interest points in images, matching these points…
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New MV2 Dataset Challenges Novel View Synthesis in Driving Scenarios
Researchers have introduced the Multi-View Multi-Vehicle (MV2) dataset and benchmark to address challenges in applying differentiable rendering for novel view synthesis (NVS) in real-world driving scenarios. The MV2 dat…
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AI thermography enhances 3D models for historical heritage documentation
Researchers have published a paper detailing the use of AI thermography enhancement for documenting historical structures, specifically the Loggia dei Lanzi in Florence. The study compares different image resolution tie…
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New Swimm3R framework enhances underwater 3D reconstruction
Researchers have developed Swimm3R, a novel framework designed to improve 3D reconstruction in underwater environments. This system integrates medium-aware structure-from-motion (SfM) with a specialized Underwater Beta …
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VidMap system enhances 3D reconstruction from uncalibrated videos
Researchers have developed VidMap, a novel system designed to improve the accuracy and robustness of reconstructing 3D environments from uncalibrated videos. This approach combines the strengths of Simultaneous Localiza…
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InstantSfM offers GPU-native structure-from-motion for deep learning era
Researchers have developed InstantSfM, a novel GPU-native structure-from-motion system designed to integrate seamlessly with deep learning pipelines. This system addresses the limitations of traditional CPU-centric SfM …