Results 241 to 250 of about 10,481,137 (284)

Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation

IEEE Transactions on Circuits and Systems for Video Technology, 2021
Learning and extracting high-level features from point cloud is the key to improving the segmentation performances on point clouds for many networks. At present, many networks present very deep structures to extract high-level features for 3D perception.
Yanping Yang, Mingbo Zhao
exaly   +3 more sources

Multi-Scale Feature Extraction for Face Recognition

2006 1ST IEEE Conference on Industrial Electronics and Applications, 2006
Face recognition has been a very active research area in the past two decades. Many attempts have been made to understand the process how human beings perceive human faces. It is widely accepted that face recognition may rely on both componential cues (such as eyes, mouth, nose, cheeks) and non-componential/holistic information (the spatial relations ...
B. Mandal, X. Jiang, A. Kot
openaire   +1 more source

Extraction of Multi-Scale Geometric Features for Point Cloud Classification

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Light Detection and Ranging (LiDAR) techniques is an efficient way of obtaining 3D information of complex urban scenes. However, automatically and efficiently interpreting acquired 3D points is still a challenging task. For achieving an excellent semantic interpretation of point clouds, the extraction of distinctive and reliable geometric features ...
Rong Huang 0001, Yusheng Xu, Uwe Stilla
openaire   +2 more sources

Pedestrian detection algorithm based on multi-scale feature extraction and attention feature fusion

Digital Signal Processing, 2022
Abstract Despite rapid development in anchor-free pedestrian detection algorithms, an optimistic trade-off between detection accuracy and efficiency is still far from being achieved. In this study, we proposed a new pedestrian detection algorithm based on multi-scale feature extraction and attention feature fusion, which is called MSAF-Net.
Hao Xia, Jun Ma, Jiayu Ou, Xinyao Lv, Chengjie Bai   +4 more
openaire   +1 more source

Multi-scale morphological feature extraction for the classification of micro-calcifications

14th International Workshop on Breast Imaging (IWBI 2018), 2018
Mammography is considered the most appropriate method to defeat breast cancer in population screening. Although mammography is used for the detection of micro-calcifications, the benign/malignant classification relies on subsequent histology assessment.
Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar   +2 more
openaire   +2 more sources

MSSVT: Multi-scale feature extraction for single face recognition

2018 24th International Conference on Pattern Recognition (ICPR), 2018
Single sample face recognition has always been a hot but difficult issue in face recognition. The existing methods solve this issue from selecting robust features or generating virtual samples. By considering selecting robust features and generating virtual samples simultaneously, this paper proposes a multi-scale support vector transformation (MSSVT ...
Xiaoxiang Xu, Li Zhang 0004, Fanzhang Li
openaire   +1 more source

A Probability-Based Approach for Multi-scale Image Feature Extraction

2014 11th International Conference on Information Technology: New Generations, 2014
Image shape feature extraction by locating the exact shape boundaries has been applied in numerous research areas such as object tracking, content based image and video retrieval, robotics and biomedical imaging. Deformable active contour (snake) methods have been widely used.
Thanh Le, Norbert Schuff
openaire   +2 more sources

Multi-scale feature extraction algorithm of ear image

2011 International Conference on Electric Information and Control Engineering, 2011
The algorithm based on local binary pattern algorithm, direct linear discriminant analysis and waterlet transform can extract the multi-scale feature of the human ear image. The irrelevant of the gray scale integer transform and the local texture feature extracting performance make the local binary pattern algorithm have great advantage in ear image ...
Zhi-qin Wang, Xiao-dong Yan
openaire   +1 more source