Results 61 to 70 of about 30,930 (225)

Point cloud segmentation using hierarchical tree for architectural models

open access: yes, 2018
Recent developments in the 3D scanning technologies have made the generation of highly accurate 3D point clouds relatively easy but the segmentation of these point clouds remains a challenging area.
Butt, Zain   +3 more
core   +1 more source

SCP‐Pose: Leveraging Structural Consistency Prior Knowledge for Real‐Time Category‐Level 6D Pose Estimation

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents a high‐speed object pose estimation method that deconstructs objects into geometric components. Inspired by human cognitive generalization, it detects these primitives and infers the 6D pose from their stable spatial configuration.
Xuyang Li   +6 more
wiley   +1 more source

Radially-Distorted Conjugate Translations

open access: yes, 2018
This paper introduces the first minimal solvers that jointly solve for affine-rectification and radial lens distortion from coplanar repeated patterns. Even with imagery from moderately distorted lenses, plane rectification using the pinhole camera model
Chum, Ondrej   +3 more
core   +1 more source

Semi‐Automatic Assessment of Crohn's Disease Activity by Combined Analysis of Bowel Lesions and Creeping Fat

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop and evaluate Crohn‐BOOST, an open‐source tool enabling semi‐automatic segmentation of intestinal lesions and creeping fat on magnetic resonance enterography (MR Enterography), and to assess whether quantitative metrics derived from these segmentations relate to radiological disease activity scored with simplified MaRIA ...
Antoine Kneib   +5 more
wiley   +1 more source

Real‐Time Terrain Traversability Analysis and Mapping for Autonomous Robotics in Dynamic Environments: Fusing Appearance‐ and Geometry‐Based Approaches

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This paper presents advanced methodologies for real‐time terrain analysis and mapping in autonomous robotic systems. The focus is on appearance‐based terrain traversability analysis and geometric‐based terrain traceability analysis. In the appearance‐based approach, an enhanced segmentation model using pixel‐based augmentation and 13 unique ...
Semih Beycimen   +2 more
wiley   +1 more source

3-D Hand Pose Estimation from Kinect's Point Cloud Using Appearance Matching

open access: yes, 2016
We present a novel appearance-based approach for pose estimation of a human hand using the point clouds provided by the low-cost Microsoft Kinect sensor.
Castaldo, Francesco   +3 more
core   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong   +13 more
wiley   +1 more source

A ROBUST ESTIMATION TECHNIQUE FOR 3D POINT CLOUD REGISTRATION

open access: yesImage Analysis and Stereology, 2016
The 3D modeling pipeline involves registration of partially overlapping 3D scans of an object. The automatic pairwise coarse alignment of partially overlapping 3D images is generally performed using 3D feature matching. The transformation estimation from
Dhanya S Pankaj, Rama Rao Nidamanuri
doaj   +1 more source

Efficient 2D-3D Matching for Multi-Camera Visual Localization

open access: yes, 2019
Visual localization, i.e., determining the position and orientation of a vehicle with respect to a map, is a key problem in autonomous driving. We present a multicamera visual inertial localization algorithm for large scale environments.
Cui, Zhaopeng   +4 more
core   +1 more source

Classification Performance of RanSaC Algorithms with Automatic Threshold Estimation

open access: yesVISIGRAPP, 2022
The RANdom SAmpling Consensus method (RanSaC) is a staple of computer vision systems and offers a simple way of fitting parameterized models to data corrupted by outliers.
Clément Riu   +3 more
semanticscholar   +1 more source

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