Deep learning advances in computer vision with 3d data: A survey
Deep learning has recently gained popularity achieving state-of-the-art performance in tasks
involving text, sound, or image processing. Due to its outstanding performance, there have …
involving text, sound, or image processing. Due to its outstanding performance, there have …
Deep learning for big data applications in CAD and PLM–Research review, opportunities and case study
With the increasing amount of available data, computing power and network speed for a
decreasing cost, the manufacturing industry is facing an unprecedented amount of data to …
decreasing cost, the manufacturing industry is facing an unprecedented amount of data to …
The evolution, challenges, and future of knowledge representation in product design systems
Product design is a highly involved, often ill-defined, complex and iterative process, and the
needs and specifications of the required artifact get more refined only as the design process …
needs and specifications of the required artifact get more refined only as the design process …
Shapenet: An information-rich 3d model repository
We present ShapeNet: a richly-annotated, large-scale repository of shapes represented by
3D CAD models of objects. ShapeNet contains 3D models from a multitude of semantic …
3D CAD models of objects. ShapeNet contains 3D models from a multitude of semantic …
3-D object retrieval and recognition with hypergraph analysis
View-based 3-D object retrieval and recognition has become popular in practice, eg, in
computer aided design. It is difficult to precisely estimate the distance between two objects …
computer aided design. It is difficult to precisely estimate the distance between two objects …
A large-scale annotated mechanical components benchmark for classification and retrieval tasks with deep neural networks
We introduce a large-scale annotated mechanical components benchmark for classification
and retrieval tasks named Mechanical Components Benchmark (MCB): a large-scale …
and retrieval tasks named Mechanical Components Benchmark (MCB): a large-scale …
Deep learning representation using autoencoder for 3D shape retrieval
We study the problem of how to build a deep learning representation for 3D shape. Deep
learning has shown to be very effective in variety of visual applications, such as image …
learning has shown to be very effective in variety of visual applications, such as image …
Knowledge graph construction for product designs from large CAD model repositories
AG Bharadwaj, B Starly - Advanced Engineering Informatics, 2022 - Elsevier
Abstract Product Design based Knowledge graphs (KG) aid the representation of product
assemblies through heterogeneous relationships that link entities obtained from multiple …
assemblies through heterogeneous relationships that link entities obtained from multiple …
A comparison of methods for non-rigid 3D shape retrieval
Non-rigid 3D shape retrieval has become an active and important research topic in content-
based 3D object retrieval. The aim of this paper is to measure and compare the performance …
based 3D object retrieval. The aim of this paper is to measure and compare the performance …
PANORAMA: A 3D shape descriptor based on panoramic views for unsupervised 3D object retrieval
We present a novel 3D shape descriptor that uses a set of panoramic views of a 3D object
which describe the position and orientation of the object's surface in 3D space. We obtain a …
which describe the position and orientation of the object's surface in 3D space. We obtain a …