BIMSeek++: Retrieving BIM components using similarity measurement of attributes

N Li, Q Li, YS Liu, W Lu, W Wang - Computers in Industry, 2020 - Elsevier
Building information modeling (BIM) has played a central role in architecture, engineering,
and construction (AEC) industry, which also becomes an active research direction in smart …

Pose-invariant matching for non-rigid 3D models using Isomap

H Jin, H Huang, Z Wang, Y Xie, X Zhou, L Huang… - Plos one, 2022 - journals.plos.org
The wide usage of 3D mesh models greatly increases the importance of an effective
matching algorithm for them. In this paper, we propose a novel 3D model matching …

[PDF][PDF] 3D model retrieval using 3D-DFT spectral and cepstral descriptors of local octants

C Lee, J Shih, Y Liu - Proceedings of the 3rd IIAE …, 2015 - pdfs.semanticscholar.org
Conventional 3D-DFT features proposed for 3D model retrieval tried to extract the
spectral/cepstral features from the spectrum/cepstrum of the 3D model, without considering …

[PDF][PDF] 3D-DFT Spectrum and Cepstrum of Dense Local Cubes for 3D Model Retrieval

CH Leea, JL Shiha, YH Liua… - The Fifth International …, 2016 - researchgate.net
Traditional 3D-DFT features used for 3D model retrieval often extracted the spectral/cepstral
features from the spectrum/cepstrum of the holistic 3D model. These approaches seldom …

[PDF][PDF] Multi-modal Information Retrieval for Systems with Explicit Information Needs and Object Properties (FemmIR)

KMA Solaiman, B Bhargava - ksolaiman.github.io
Existing multi-media retrieval models either rely on creating a common subspace with
modality-specific representation models or require schema mapping among modalities to …

Multimodal Data Management in Open-world Environment

KMA Solaiman - 2023 - hammer.purdue.edu
The availability of abundant multimodal data, including textual, visual, and sensor-based
information, holds the potential to improve decision-making in diverse domains. Extracting …

Similarity Measurement Between Reconstructed 3D Face and 2D Face Based on Deep Learning

J Feng - … Recognition: 14th Chinese Conference, CCBR 2019 …, 2019 - books.google.com
Craniofacial reconstruction technology is very important in the field of criminal investigation.
But reconstruction a face from skull is not the end of work. The key technology is the …

Reconstructed Face Recognition

J Feng - … Recognition: 14th Chinese Conference, CCBR 2019 …, 2019 - books.google.com
Computer-aided craniofacial reconstruction technology has very important application in the
field of criminal investigation. But reconstruction a face from skull is not the end of work. The …

Similarity Measurement Between Reconstructed 3D Face and 2D Face Based on Deep Learning

S Zhao, X Liu, S Wang, Y Jing, J Feng - Biometric Recognition: 14th …, 2019 - Springer
Craniofacial reconstruction technology is very important in the field of criminal investigation.
But reconstruction a face from skull is not the end of work. The key technology is the …

Reconstructed Face Recognition

X Liu, S Zhao, S Wang, Y Jing, J Feng - Biometric Recognition: 14th …, 2019 - Springer
Computer-aided craniofacial reconstruction technology has very important application in the
field of criminal investigation. But reconstruction a face from skull is not the end of work. The …