Brain tumor detection and categorization with segmentation of improved unsupervised clustering approach and machine learning classifier
U Bhimavarapu, N Chintalapudi, G Battineni - Bioengineering, 2024 - mdpi.com
There is no doubt that brain tumors are one of the leading causes of death in the world. A
biopsy is considered the most important procedure in cancer diagnosis, but it comes with …
biopsy is considered the most important procedure in cancer diagnosis, but it comes with …
[HTML][HTML] A comparison and evaluation of stereo matching on active stereo images
The relationship between the disparity and depth information of corresponding pixels is
inversely proportional. Thus, in order to accurately estimate depth from stereo vision, it is …
inversely proportional. Thus, in order to accurately estimate depth from stereo vision, it is …
Monoghost: lightweight monocular ghostnet 3D object properties estimation for autonomous driving
A El-Dawy, A El-Zawawi, M El-Habrouk - Robotics, 2023 - mdpi.com
Effective environmental perception is critical for autonomous driving; thus, the perception
system requires collecting 3D information of the surrounding objects, such as their …
system requires collecting 3D information of the surrounding objects, such as their …
A novel model for eliminating overlapping issues in 3D object recognition using dove swarm optimization based light GBM
R Rajendran, BS Murugan - International Journal of Information …, 2023 - Springer
This paper proposes a novel modified light gradient boosting machine-based Dove swarm
optimization (MLGBM-DSO) model for the accurate recognition of 3D objects. To evaluate …
optimization (MLGBM-DSO) model for the accurate recognition of 3D objects. To evaluate …
[HTML][HTML] Evaluation of 2d-/3d-feet-detection methods for semi-autonomous powered wheelchair navigation
Powered wheelchairs have enhanced the mobility and quality of life of people with special
needs. The next step in the development of powered wheelchairs is to incorporate sensors …
needs. The next step in the development of powered wheelchairs is to incorporate sensors …
Facial Expression Recognition with Geometric Scattering on 3D Point Clouds
Y He, K Fu, P Cheng, J Zhang - Sensors, 2022 - mdpi.com
As one of the pioneering data representations, the point cloud has shown its straightforward
capacity to depict fine geometry in many applications, including computer graphics …
capacity to depict fine geometry in many applications, including computer graphics …
A Pose-Normalization Method for Casting Voxel Models Using Second-Order Central Moment Matrix
S Guo, X Dong, D Xiang, H Cao - IEEE Access, 2023 - ieeexplore.ieee.org
Within the framework of casting process design, the efficient retrieval of three-dimensional
(3D) computer-aided design (CAD) models could result in significant time and cost savings …
(3D) computer-aided design (CAD) models could result in significant time and cost savings …
3D Descriptor of Objects in a Scene based on the Average Depth of Point Cloud Images
R Zhang, X Tu, T Yao, G Sun - 2023 4th International …, 2023 - ieeexplore.ieee.org
In the field of machine vision, 3D point cloud data contains rich and comprehensive spatial
information, and local feature descriptors based on 3D point cloud data play an important …
information, and local feature descriptors based on 3D point cloud data play an important …
[PDF][PDF] Lightweight Monocular GhostNet 3D Object Properties Estimation for Autonomous Driving. Robotics 2023, 12, 155
A El-Dawy, A El-Zawawi, MMG El-Habrouk - 2023 - academia.edu
Effective environmental perception is critical for autonomous driving; thus, the perception
system requires collecting 3D information of the surrounding objects, such as their …
system requires collecting 3D information of the surrounding objects, such as their …