Yafei Zhao

ORCID: 0009-0007-9156-4301
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • 3D Surveying and Cultural Heritage
  • Robotics and Sensor-Based Localization
  • 3D Shape Modeling and Analysis
  • Aerospace and Aviation Technology
  • Face and Expression Recognition
  • Hand Gesture Recognition Systems
  • Gaze Tracking and Assistive Technology
  • Fluid Dynamics and Turbulent Flows
  • Biometric Identification and Security
  • Human Pose and Action Recognition
  • Face recognition and analysis
  • Computational Fluid Dynamics and Aerodynamics

Nanjing University of Science and Technology
2023-2024

China Academy of Information and Communications Technology
2019

Università Campus Bio-Medico
2018

Zhejiang University
2011

This paper presents a real-time hand gesture recognition method. Hand regions are located by combining adaptive skin color detection and motion detection. Histograms of oriented gradients (HOG) used to describe image. Extracted HOG features projected into low-dimensional subspace using PCA-LDA (Principle Component Analysis Linear Discriminant Analysis). And then distances between the each class center calculated. Finally results obtained nearest neighbor Experimental showed that proposed...

10.1109/icecc.2011.6066597 article EN 2011-09-01

Transformer has recently become widely adopted in point cloud registration. Nevertheless, is unsuitable for handling dense clouds due to resource constraints and the sheer volume of data. We propose a method directly regressing rigid relative transformation pairs. Specifically, we divide into blocks according down-sampled superpoints. During training, randomly select with varying overlap ratios, during testing, introduce overlap-aware Rotation-Invariant Geometric Cross-Encoder...

10.3390/rs16111898 article EN cc-by Remote Sensing 2024-05-25

Domain adaptation is one of the major challenges for face recognition (FR). Most large-scale FR training datasets are built from massive images crawled Internet, while in practical applications come specific scenarios. Especially, like ID card verification, registered taken controlled environments probe not. There different distributions between source domain and target domain. In this paper, we propose to use Instance-Batch-Normalization (IBN) block improve cross-domain performance. A...

10.1109/bigdata.2018.8622251 article EN 2021 IEEE International Conference on Big Data (Big Data) 2018-12-01
Coming Soon ...