Results 61 to 70 of about 9,523 (214)
A Survey of Methods for Constructing 3D Urban Models From Point Clouds
Computer Graphics Forum, EarlyView.The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo +5 more
wiley +1 more source
A ROBUST ESTIMATION TECHNIQUE FOR 3D POINT CLOUD REGISTRATION
Image 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
Survey on differential estimators for 3d point clouds
Computer Graphics Forum, EarlyView.Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger +4 more
wiley +1 more source
Geometry‐Aware Alignment and Comparison of Hierarchical Morse Complexes with Applications
Computer Graphics Forum, EarlyView.Abstract Scalar fields derived from 3D X‐ray CT scans of samples undergoing ex situ processes, such as thermal aging, chemical etching, or mechanical stress, pose unique challenges for characterizing similarities and differences across acquisitions. Typically, a sample A (source) is imaged, removed, and subjected to experimental conditions that alter ...
Aniketh Venkat +3 more
wiley +1 more source
RANSAC-LEL: An optimized version with Least Entropy Like Estimators
, 2011 The paper proposes a robust estimation method which implements, in cascade, two algorithms: (i) a Random Sample and Consensus (RANSAC) algorithm and (ii) a novel nonlinear prediction error estimator minimizing a cost function inspired by the mathematical
DISTANTE, Cosimo +7 more
core +1 more source
Multiple Target Tracking with Recursive-RANSAC and Machine Learning [PDF]
, 2015 The Recursive-Random Sample Consensus (R-RANSAC) algorithm is a novel multiple target tracker designed to excel in tracking scenarios with high amounts of clutter measurements.
Ingersoll, Kyle
core +1 more source
t‐Regina: Data‐driven Authoring of Free‐form Registration for Cartoon Character Sprites
Computer Graphics Forum, EarlyView.Abstract This paper proposes t‐Regina, a novel iterative scheme that automates the manipulation of grid handles in free‐form deformation (FFD) for deformable registrations of cartoon character sprites. First, we build a data‐driven FFD (dFFD) that enables users to handle locations of FFD handles from lower‐dimensional parameters.
Tsukasa Fukusato, Akinobu Maejima
wiley +1 more source
FT-RANSAC: Towards robust multi-modal homography estimation
, 2014 As the golden standard in robust estimation, the classic RANSAC approach has undergone extensive research that contributed to further enhancements in run-time performance, robustness, and multi-structure support to name a few.
Kaufmann, Hannes +3 more
core +1 more source
Controllable RANSAC-based Anomaly Detection via Hypothesis Testing [PDF]
Detecting the presence of anomalies in regression models is a crucial task in machine learning, as anomalies can significantly impact the accuracy and reliability of predictions.
Phong, Le Hong +2 more
core +1 more source
European Journal of Oral Sciences, EarlyView.Abstract This systematic review provides a broad overview of three distinct applications of artificial intelligence (AI) in facial soft‐tissue assessment: landmark localization, automated facial measurement, and classification of soft‐tissue conditions in orthodontic and dentofacial evaluation.
Hugo Henrique dos Santos Dantas Guimarães +1 more
wiley +1 more source