Results 11 to 20 of about 1,530,615 (334)

3D shape knowledge graph for cross‐domain 3D shape retrieval

CAAI Transactions on Intelligence Technology
The surge in 3D modelling has led to a pronounced research emphasis on the field of 3D shape retrieval. Numerous contemporary approaches have been put forth to tackle this intricate challenge. Nevertheless, effectively addressing the intricacies of cross‐
Rihao Chang, Yongtao Ma, Tong Hao, Weijie Wang, Weizhi Nie   +4 more
doaj   +2 more sources

Salient Local 3D Features for 3D Shape Retrieval [PDF]

SPIE Proceedings, 2011
In this paper we describe a new formulation for the 3D salient local features based on the voxel grid inspired by the Scale Invariant Feature Transform (SIFT).
Godil, Afzal, Wagan, Asim Imdad
core   +2 more sources

Modeling 3D facial shape from DNA. [PDF]

PLoS Genetics, 2014
Human facial diversity is substantial, complex, and largely scientifically unexplained. We used spatially dense quasi-landmarks to measure face shape in population samples with mixed West African and European ancestry from three locations (United States,
Peter Claes, Denise K Liberton, Katleen Daniels, Kerri Matthes Rosana, Ellen E Quillen, Laurel N Pearson, Brian McEvoy, Marc Bauchet, Arslan A Zaidi, Wei Yao, Hua Tang, Gregory S Barsh, Devin M Absher, David A Puts, Jorge Rocha, Sandra Beleza, Rinaldo W Pereira, Gareth Baynam, Paul Suetens, Dirk Vandermeulen, Jennifer K Wagner, James S Boster, Mark D Shriver   +22 more
doaj   +4 more sources

3D-FUTURE: 3D Furniture Shape with TextURE [PDF]

International Journal of Computer Vision, 2021
Project Page: https://tianchi.aliyun.com/specials/promotion/alibaba-3d ...
Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Steve Maybank, Dacheng Tao   +6 more
openaire   +2 more sources

Shaping 3D Root System Architecture [PDF]

Current Biology, 2017
Plants are sessile organisms rooted in one place. The soil resources that plants require are often distributed in a highly heterogeneous pattern. To aid foraging, plants have evolved roots whose growth and development are highly responsive to soil signals.
Emily C. Morris, Marcus Griffiths, Agata Golebiowska, Stefan Mairhofer, Jasmine Burr-Hersey, Tatsuaki Goh, Daniel von Wangenheim, Brian Atkinson, Craig J. Sturrock, Jonathan P. Lynch, Kris Vissenberg, Karl Ritz, Darren M. Wells, Sacha J. Mooney, Malcolm J. Bennett   +14 more
openaire   +3 more sources

3D Shape Attributes

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
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   +5 more sources

A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching [PDF]

, 2017
We propose a combinatorial solution for the problem of non-rigidly matching a 3D shape to 3D image data. To this end, we model the shape as a triangular mesh and allow each triangle of this mesh to be rigidly transformed to achieve a suitable matching to
Bernard, Florian, Cremers, Daniel, Schmidt, Frank R., Thunberg, Johan   +3 more
core   +2 more sources

MPAN: Multi-Part Attention Network for Point Cloud Based 3D Shape Retrieval

IEEE Access, 2020
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, Junyu Xu, Yue Zhao, Wenhui Li, Weizhi Nie   +4 more
doaj   +1 more source

Multi-Modal 3D Shape Clustering with Dual Contrastive Learning

Applied Sciences, 2022
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, Zexun Zheng, Lin Chen, Tianyi Qin, Jiahui Song   +4 more
doaj   +1 more source

A survey of deep learning-based 3D shape generation

Computational Visual Media, 2023
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