SHREC 2021: Skeleton-based hand gesture recognition in the wild

A Caputo, A Giachetti, S Soso, D Pintani… - Computers & …, 2021 - Elsevier
Gesture recognition is a fundamental tool to enable novel interaction paradigms in a variety
of application scenarios like Mixed Reality environments, touchless public kiosks …

[HTML][HTML] Learning graph-based features for relief patterns classification on mesh manifolds

N Guiducci, C Tortorici, C Ferrari, S Berretti - Computers & Graphics, 2023 - Elsevier
Relief patterns represent a surface characteristic that can be seen as the 3D counterpart of
the texture concept in 2D images. Such characteristic is well distinct from the 3D object …

SHREC 2022 track on online detection of heterogeneous gestures

M Emporio, A Caputo, A Giachetti, M Cristani… - Computers & …, 2022 - Elsevier
This paper presents the outcomes of a contest organized to evaluate methods for the online
recognition of heterogeneous gestures from sequences of 3D hand poses. The task is the …

SketchANIMAR: sketch-based 3D animal fine-grained retrieval

TN Le, TV Nguyen, MQ Le, TT Nguyen, VT Huynh… - Computers & …, 2023 - Elsevier
The retrieval of 3D objects has gained significant importance in recent years due to its broad
range of applications in computer vision, computer graphics, virtual reality, and augmented …

3D point cloud denoising using anisotropic neighborhoods and a novel sharp feature detection algorithm

J Hurtado, M Gattass, A Raposo - The Visual Computer, 2023 - Springer
Abstract 3D point cloud denoising is a fundamental task in a geometry-processing pipeline,
where feature preservation is essential for various applications. The literature presents …

Unsupervised Dual Transformer Learning for 3-D Textured Surface Segmentation

II Ganapathi, FA Dharejo, S Javed… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Analysis of the 3-D texture is indispensable for various tasks, such as retrieval,
segmentation, classification, and inspection of sculptures, knit fabrics, and biological tissues …

A benchmark dataset for repetitive pattern recognition on textured 3d surfaces

S Lengauer, I Sipiran, R Preiner… - Computer Graphics …, 2021 - Wiley Online Library
In digital archaeology, a large research area is concerned with the computer‐aided analysis
of 3D captured ancient pottery objects. A key aspect thereby is the analysis of motifs and …

3D-TexSeg: Unsupervised Segmentation of 3D Texture Using Mutual Transformer Learning

II Ganapathi, FA Dharejo, S Javed… - … Conference on 3D …, 2024 - ieeexplore.ieee.org
Analysis of the 3D Texture is indispensable for various tasks, such as retrieval,
segmentation, classification, and inspection of sculptures, knitted fabrics, and biological …

Surface-based protein domains retrieval methods from a SHREC2021 challenge

F Langenfeld, T Aderinwale, C Christoffer… - Journal of Molecular …, 2022 - Elsevier
Proteins are essential to nearly all cellular mechanism and the effectors of the cells activities.
As such, they often interact through their surface with other proteins or other cellular ligands …

[PDF][PDF] Semi-automated Annotation of Repetitive Ornaments on 3D Painted Pottery Surfaces.

S Lengauer, A Komar, S Karl, E Trinkl, I Sipiran… - GCH, 2020 - academia.edu
The creation of drawings from the surface of painted pottery artifacts is an important practice
in archaeological research and documentation. Traditional approaches include manual …