Voxel-based representation of 3D point clouds: Methods, applications, and its potential use in the construction industry
Point clouds acquired through laser scanning and stereo vision techniques have been
applied in a wide range of applications, proving to be optimal sources for mapping 3D urban …
applied in a wide range of applications, proving to be optimal sources for mapping 3D urban …
Evaluation metrics for intelligent generation of graphical game assets: a systematic survey-based framework
K Fukaya, D Daylamani-Zad… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Generative systems for graphical assets have the potential to provide users with high quality
assets at the push of a button. However, there are many forms of assets, and many …
assets at the push of a button. However, there are many forms of assets, and many …
Deep learning-based 3D reconstruction: a survey
T Samavati, M Soryani - Artificial Intelligence Review, 2023 - Springer
Image-based 3D reconstruction is a long-established, ill-posed problem defined within the
scope of computer vision and graphics. The purpose of image-based 3D reconstruction is to …
scope of computer vision and graphics. The purpose of image-based 3D reconstruction is to …
Robotic object perception based on multispectral few-shot coupled learning
In order to enable intelligent robots to recognize unknown objects as accurately as human
beings, object perception research is of great significance in service and industrial robot …
beings, object perception research is of great significance in service and industrial robot …
Semi-direct multimap SLAM system for real-time sparse 3-D map reconstruction
H Xie, D Zhang, J Wang, MC Zhou… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The lack of a sufficient number of reliable corners in low-textured environments is a big
challenge for classical visual Simultaneous Localization And Mapping (SLAM), especially …
challenge for classical visual Simultaneous Localization And Mapping (SLAM), especially …
A progressive quadric graph convolutional network for 3D human mesh recovery
Human mesh recovery from one single image has achieved rapid progress recently, but
many methods suffer from the image appearance overfitting since the training data are …
many methods suffer from the image appearance overfitting since the training data are …
CIGNet: Category-and-Intrinsic-Geometry Guided Network for 3D coarse-to-fine reconstruction
Abstract 3D object reconstruction from arbitrary view intensity images is a challenging but
meaningful research topic in computer vision. The main limitations of existing approaches …
meaningful research topic in computer vision. The main limitations of existing approaches …
An improved discriminative model prediction approach to real-time tracking of objects with camera as sensors
Generic person tracking is a basic task in visual surveillance by using camera as sensors.
Many deep learning-based trackers have obtained outstanding performance. Among them …
Many deep learning-based trackers have obtained outstanding performance. Among them …
Transfer learning from an artificial radiograph-landmark dataset for registration of the anatomic skull model to dual fluoroscopic X-ray images
Registration of 3D anatomic structures to their 2D dual fluoroscopic X-ray images is a widely
used motion tracking technique. However, deep learning implementation is often impeded …
used motion tracking technique. However, deep learning implementation is often impeded …
DASI: Learning domain adaptive shape impression for 3D object reconstruction
J Gao, D Kong, S Wang, J Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Previous 3D object reconstruction methods from 2D images involve two issues: the lack of in-
depth exploration of the prior knowledge of 3D shapes, and the difficulty of dealing with the …
depth exploration of the prior knowledge of 3D shapes, and the difficulty of dealing with the …