A 2d shape structure for decomposition and part similarity
This paper presents a multilevel analysis of 2D shapes and uses it to find similarities
between the different parts of a shape. Such an analysis is important for many applications …
between the different parts of a shape. Such an analysis is important for many applications …
Perceptually grounded quantification of 2D shape complexity
The importance of measuring the complexity of shapes can be seen by the wide range of its
application such as computer vision, robotics, cognitive studies, eye tracking, and …
application such as computer vision, robotics, cognitive studies, eye tracking, and …
Automatic structuring of organic shapes from a single drawing
E Entem, AD Parakkat, L Barthe… - Computers & …, 2019 - Elsevier
Complex vector drawings serve as convenient and expressive visual representations, but
they remain difficult to edit or manipulate. For clean-line vector drawings of smooth organic …
they remain difficult to edit or manipulate. For clean-line vector drawings of smooth organic …
Exploring 2d shape complexity
In this paper, we explore different notions of shape complexity, drawing from established
work in mathematics, computer science, and computer vision. Our measures divide naturally …
work in mathematics, computer science, and computer vision. Our measures divide naturally …
A salience measure for 3D shape decomposition and sub-parts classification
This paper introduces a measure of significance on a curve skeleton of a 3D piecewise
linear shape mesh, allowing the computation of both the shape's parts and their saliency …
linear shape mesh, allowing the computation of both the shape's parts and their saliency …
Structuring and layering contour drawings of organic shapes
Complex vector drawings serve as convenient and expressive visual representations, but
they remain difficult to edit or manipulate. For clean-line vector drawings of smooth organic …
they remain difficult to edit or manipulate. For clean-line vector drawings of smooth organic …
Towards Learning Geometric Shape Parts
In this article, we explore the effectiveness of using neural networks to generate skeleton-
based representations of shapes. Deep-learning approaches have proven very efficient to …
based representations of shapes. Deep-learning approaches have proven very efficient to …
Squelettes pour la reconstruction 3D: de l'estimation de la projection du squelette dans une image 2D à la triangulation du squelette en 3D
B Durix - 2017 - theses.hal.science
La reconstruction 3D consiste à acquérir des images d'un objet, et à s' en servir pour en
estimer un modèle 3D. Dans ce manuscrit, nous développons une méthode de …
estimer un modèle 3D. Dans ce manuscrit, nous développons une méthode de …
Intuitive modeling of 3D objects from outline drawing. Application tothe design of virtual animals.
E Entem - 2018 - theses.hal.science
Drawing is the most common way to communicate about shapes. Thus, using sketching as a
tool in the process of modeling 3D content is an attractive approach. However in the world of …
tool in the process of modeling 3D content is an attractive approach. However in the world of …
[PDF][PDF] Geometric Shape Decomposition and Part Similarity
In the last few years numerous work on 3D shape synthesis involve mixing and matching
parts from different objects to form a coherent whole. These methods rely on the assumption …
parts from different objects to form a coherent whole. These methods rely on the assumption …