A survey of content based 3D shape retrieval methods

JWH Tangelder, RC Veltkamp - Proceedings Shape Modeling …, 2004 - ieeexplore.ieee.org
Recent developments in techniques for modeling, digitizing and visualizing 3D shapes has
led to an explosion in the number of available 3D models on the Internet and in domain …

Three-dimensional shape searching: state-of-the-art review and future trends

N Iyer, S Jayanti, K Lou, Y Kalyanaraman… - Computer-Aided …, 2005 - Elsevier
Three-dimensional shape searching is a problem of current interest in several different
fields. Most techniques have been developed for a particular domain and reduce a shape …

Feature-based similarity search in 3D object databases

B Bustos, DA Keim, D Saupe, T Schreck… - ACM Computing …, 2005 - dl.acm.org
The development of effective content-based multimedia search systems is an important
research issue due to the growing amount of digital audio-visual information. In the case of …

Machine-learning techniques and their applications in manufacturing

DT Pham, AA Afify - Proceedings of the Institution of …, 2005 - journals.sagepub.com
Abstract Machine learning is concerned with enabling computer programs automatically to
improve their performance at some tasks through experience. Manufacturing is an area …

A new 3D model retrieval approach based on the elevation descriptor

JL Shih, CH Lee, JT Wang - Pattern Recognition, 2007 - Elsevier
The advances in 3D data acquisition techniques, graphics hardware, and 3D data modeling
and visualizing techniques have led to the proliferation of 3D models. This has made the …

Content-based CAD assembly model retrieval: Survey and future challenges

K Lupinetti, JP Pernot, M Monti, F Giannini - Computer-Aided Design, 2019 - Elsevier
Currently, the content-based retrieval is a problem of major interest in several different fields
and, focusing on mechanical engineering, many approaches exist to compare and retrieve …

A deep learning approach to the classification of 3D CAD models

F Qin, L Li, S Gao, X Yang, X Chen - Journal of Zhejiang University …, 2014 - Springer
Abstract Model classification is essential to the management and reuse of 3D CAD models.
Manual model classification is laborious and error prone. At the same time, the automatic …

'CADSketchNet'-An annotated sketch dataset for 3D CAD model retrieval with deep neural networks

B Manda, S Dhayarkar, S Mitheran, VK Viekash… - Computers & …, 2021 - Elsevier
Ongoing advancements in the fields of 3D modelling and digital archiving have led to an
outburst in the amount of data stored digitally. Consequently, several retrieval systems have …

A survey on data‐driven 3D shape descriptors

R Rostami, FS Bashiri, B Rostami… - Computer graphics …, 2019 - Wiley Online Library
Recent advances in scanning device technologies and improvements in techniques that
generate and synthesize 3D shapes have made 3D models widespread in various fields …

Learning the manufacturing capabilities of machining and finishing processes using a deep neural network model

C Zhao, SN Melkote - Journal of Intelligent Manufacturing, 2024 - Springer
In this work, we present a deep neural network model to automatically learn the capabilities
of discrete manufacturing processes such as machining and finishing from design and …