Recent advances in shape correspondence
Y Sahillioğlu - The Visual Computer, 2020 - Springer
Important new developments have appeared since the most recent direct survey on shape
correspondence published almost a decade ago. Our survey covers the period from 2011 …
correspondence published almost a decade ago. Our survey covers the period from 2011 …
A survey on deep learning advances on different 3D data representations
E Ahmed, A Saint, AER Shabayek… - arXiv preprint arXiv …, 2018 - arxiv.org
3D data is a valuable asset the computer vision filed as it provides rich information about the
full geometry of sensed objects and scenes. Recently, with the availability of both large 3D …
full geometry of sensed objects and scenes. Recently, with the availability of both large 3D …
Using latent dirichlet allocation for automatic categorization of software
K Tian, M Revelle, D Poshyvanyk - 2009 6th IEEE international …, 2009 - ieeexplore.ieee.org
In this paper, we propose a technique called LACT for automatically categorizing software
systems in open-source repositories. LACT is based on latent Dirichlet Allocation, an …
systems in open-source repositories. LACT is based on latent Dirichlet Allocation, an …
Recent trends, applications, and perspectives in 3d shape similarity assessment
The recent introduction of 3D shape analysis frameworks able to quantify the deformation of
a shape into another in terms of the variation of real functions yields a new interpretation of …
a shape into another in terms of the variation of real functions yields a new interpretation of …
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries
Large-scale 3D shape retrieval has become an important research direction in content-
based 3D shape retrieval. To promote this research area, two Shape Retrieval Contest …
based 3D shape retrieval. To promote this research area, two Shape Retrieval Contest …
Learning high-level feature by deep belief networks for 3-D model retrieval and recognition
3-D shape analysis has attracted extensive research efforts in recent years, where the major
challenge lies in designing an effective high-level 3-D shape feature. In this paper, we …
challenge lies in designing an effective high-level 3-D shape feature. In this paper, we …
Shape and context-based recognition of standard mechanical parts in CAD models
The work here presented is part of a wider research project aimed at extracting and using in
industrial applications high level semantic information from 3D product models that are …
industrial applications high level semantic information from 3D product models that are …
Comparing CAD part models for geometrical similarity: A concept using machine learning algorithms
The efficient execution of process planning activities requires the knowledge from several
distinct domains. However, in this context, a common issue is the existence of collective …
distinct domains. However, in this context, a common issue is the existence of collective …
Juxtaform: interactive visual summarization for exploratory shape design
We present juxtaform, a novel approach to the interactive summarization of large shape
collections for conceptual shape design. We conduct a formative study to ascertain design …
collections for conceptual shape design. We conduct a formative study to ascertain design …
3D shape recognition and retrieval based on multi-modality deep learning
For 3D shape analysis, an effective and efficient feature is the key to popularize its
applications in 3D domain where the major challenge lies in designing an effective high …
applications in 3D domain where the major challenge lies in designing an effective high …