[HTML][HTML] How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques
N Harandi, B Vandenberghe, J Vankerschaver… - Plant Methods, 2023 - Springer
Computer vision technology is moving more and more towards a three-dimensional
approach, and plant phenotyping is following this trend. However, despite its potential, the …
approach, and plant phenotyping is following this trend. However, despite its potential, the …
Part‐based mesh segmentation: a survey
RSV Rodrigues, JFM Morgado… - Computer Graphics …, 2018 - Wiley Online Library
This paper surveys mesh segmentation techniques and algorithms, with a focus on part‐
based segmentation, that is, segmentation that divides a mesh (featuring a 3D object) into …
based segmentation, that is, segmentation that divides a mesh (featuring a 3D object) into …
Syncspeccnn: Synchronized spectral cnn for 3d shape segmentation
In this paper, we study the problem of semantic annotation on 3D models that are
represented as shape graphs. A functional view is taken to represent localized information …
represented as shape graphs. A functional view is taken to represent localized information …
Parallel spectral clustering in distributed systems
Spectral clustering algorithms have been shown to be more effective in finding clusters than
some traditional algorithms, such as k-means. However, spectral clustering suffers from a …
some traditional algorithms, such as k-means. However, spectral clustering suffers from a …
A benchmark for 3D mesh segmentation
X Chen, A Golovinskiy, T Funkhouser - Acm transactions on graphics …, 2009 - dl.acm.org
This paper describes a benchmark for evaluation of 3D mesh segmentation salgorithms. The
benchmark comprises a data set with 4,300 manually generated segmentations for 380 …
benchmark comprises a data set with 4,300 manually generated segmentations for 380 …
Learning 3D mesh segmentation and labeling
This paper presents a data-driven approach to simultaneous segmentation and labeling of
parts in 3D meshes. An objective function is formulated as a Conditional Random Field …
parts in 3D meshes. An objective function is formulated as a Conditional Random Field …
Consistent mesh partitioning and skeletonisation using the shape diameter function
Mesh partitioning and skeletonisation are fundamental for many computer graphics and
animation techniques. Because of the close link between an object's skeleton and its …
animation techniques. Because of the close link between an object's skeleton and its …
A survey on mesh segmentation techniques
A Shamir - Computer graphics forum, 2008 - Wiley Online Library
We present a review of the state of the art of segmentation and partitioning techniques of
boundary meshes. Recently, these have become a part of many mesh and object …
boundary meshes. Recently, these have become a part of many mesh and object …
Meshwalker: Deep mesh understanding by random walks
A Lahav, A Tal - ACM Transactions on Graphics (TOG), 2020 - dl.acm.org
Most attempts to represent 3D shapes for deep learning have focused on volumetric grids,
multi-view images and point clouds. In this paper we look at the most popular representation …
multi-view images and point clouds. In this paper we look at the most popular representation …
3d skeletons: A state‐of‐the‐art report
A Tagliasacchi, T Delame, M Spagnuolo… - Computer Graphics …, 2016 - Wiley Online Library
Given a shape, a skeleton is a thin centered structure which jointly describes the topology
and the geometry of the shape. Skeletons provide an alternative to classical boundary or …
and the geometry of the shape. Skeletons provide an alternative to classical boundary or …