Results 11 to 20 of about 460,480 (261)
In distributed shape sensing, the shape reconstruction error is more and more sensitive to the strain measuring error along with curvature radius of reconstructed shape increasing, which causes a notable challenge for large curvature radius shape ...
Zeen Chen +9 more
doaj +1 more source
3D Gaussian descriptor for 3D shape retrieval [PDF]
This paper presents a new approach to 3D shape comparison and retrieval based on the computation of Gaussian transforms of the surface model on a set of points regularly distributed inside the model's bounding box. A study of the properties of the Gaussian term leads us to an efficient computation of the description.
Mohamed Chaouch, Anne Verroust-Blondet
openaire +1 more source
Retrieving three-dimensional (3D) shape information from a single two-dimensional (2D) image has recently gained enormous attention in a variety of fields.
Hieu Nguyen +4 more
doaj +1 more source
In this paper we investigate 3D attributes as a means to understand the shape of an object in a single image. To this end, we make a number of contributions: (i) we introduce and define a set of 3D Shape attributes, including planarity, symmetry and occupied space, (ii) we show that such properties can be successfully inferred from a single image using
Fouhey, D, Gupta, A, Zisserman, A
openaire +2 more sources
3D Menagerie: Modeling the 3D Shape and Pose of Animals [PDF]
There has been significant work on learning realistic, articulated, 3D models of the human body. In contrast, there are few such models of animals, despite many applications. The main challenge is that animals are much less cooperative than humans. The best human body models are learned from thousands of 3D scans of people in specific poses, which is ...
S Zuffi, A Kanazawa, D Jacobs, MJ Black
openaire +5 more sources
MPAN: Multi-Part Attention Network for Point Cloud Based 3D Shape Retrieval
3D shape retrieval is an important researching field due to its wide applications in computer vision and multimedia fields. With the development of deep learning technology, great progress has been made in recent years and lots of methods have achieved ...
Zirui Li +4 more
doaj +1 more source
Multi-Modal 3D Shape Clustering with Dual Contrastive Learning
3D shape clustering is developing into an important research subject with the wide applications of 3D shapes in computer vision and multimedia fields. Since 3D shapes generally take on various modalities, how to comprehensively exploit the multi-modal ...
Guoting Lin +4 more
doaj +1 more source
3D Shape Analysis of Scoliosis
Scoliosis is typically measured in 2D in the coronal plane, although it is a three-dimensional (3D) condition. Our objective in this work is to analyse the 3D geometry of the spine and its relationship to the vertebral canal. To this end, we make three contributions: first, we extract the 3D space curve of the spine automatically from low-resolution ...
Bourigault, E +5 more
openaire +2 more sources
A survey of deep learning-based 3D shape generation
Deep learning has been successfully used for tasks in the 2D image domain. Research on 3D computer vision and deep geometry learning has also attracted attention. Considerable achievements have been made regarding feature extraction and discrimination of
Qun-Ce Xu, Tai-Jiang Mu, Yong-Liang Yang
doaj +1 more source
Contactless reversible 4D-printing for 3D-to-3D shape morphing
4D printing provides a means to create dynamic structures for self-actuating devices fabricated by additive manufacturing techniques. Most existing 4D printing processes are only capable of one-way shape morphing using a single mechanism for stimulation.
Amelia Yilin Lee +4 more
doaj +1 more source

