39 citations · 98 across the 6 of their papers we have counts for
4 papers · 1 filter
A learning-based approach to feature recognition of Engineering shapes
Lakshmi Priya Muraleedharan, Ramanathan Muthuganapathy
In this paper, we propose a machine learning approach to recognise engineering shape features such as holes, slots, etc. in a CAD mesh model. With the advent of digital archiving,…
'CADSketchNet' -- An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks
Bharadwaj Manda, Shubham Dhayarkar, Sai Mitheran +2
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 hav…
A Convolutional Neural Network Approach to the Classification of Engineering Models
Bharadwaj Manda, Pranjal Bhaskare, Ramanathan Muthuganapathy
This paper presents a deep learning approach for the classification of Engineering (CAD) models using Convolutional Neural Networks (CNNs). Owing to the availability of large annot…
2D Points Curve Reconstruction Survey and Benchmark
Stefan Ohrhallinger, Jiju Peethambaran, Amal D. Parakkat +2
Curve reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like han…