Results 21 to 30 of about 5,057,517 (289)
LOCAL FEATURE EXTRACTION IN IMAGES
Information, Computing and Intelligent systems, 2021 The methods of the local feature point extraction are analyzed. The analysis shows that the most effective detectors are based on the brightness gradient determination. They usually use the Harris angle detector, which is complex in calculations.
Anatoliy Sergiyenko +2 more
openaire +3 more sources
Aggregated Deep Local Features for Remote Sensing Image Retrieval [PDF]
, 2019 Remote Sensing Image Retrieval remains a challenging topic due to the special nature of Remote Sensing Imagery. Such images contain various different semantic objects, which clearly complicates the retrieval task.
Bondarev, Egor +3 more
core +3 more sources
Making Sense of Neuromorphic Event Data for Human Action Recognition
IEEE Access, 2021 Neuromorphic vision sensors provide low power sensing and capture salient spatial-temporal events. The majority of the existing neuromorphic sensing work focus on object detection.
Salah Al-Obaidi +2 more
doaj +1 more source
A Contrastive Model with Local Factor Clustering for Semi-Supervised Few-Shot Learning
Mathematics, 2023 Learning novel classes with a few samples per class is a very challenging task in deep learning. To mitigate this issue, previous studies have utilized an additional dataset with extensively labeled samples to realize transfer learning.
Hexiu Lin +3 more
doaj +1 more source
Facial expression recognition based on multi branch structure [PDF]
E3S Web of Conferences, 2021 Facial expression recognition (FER) is an important means for machines to perceive human emotions and interact with human beings. Most of the existing facial expression recognition methods only use a single convolutional neural network to extract the ...
Xie Yuqing +5 more
doaj +1 more source
Automatic discovery of image families: Global vs. local features [PDF]
, 2009 Gathering a large collection of images has been made quite easy by social and image sharing websites, e.g. flickr.com. However, using such collections faces the problem that they contain a large number of duplicates and highly similar images.
Aly, Mohamed +3 more
core +1 more source
Entropy, 2020 Convolutional neural networks have powerful performances in many visual tasks because of their hierarchical structures and powerful feature extraction capabilities. SPD (symmetric positive definition) matrix is paid attention to in visual classification,
Jiangyi Wang +3 more
doaj +1 more source
Multiplex networks in metropolitan areas: generic features and local effects [PDF]
, 2015 Most large cities are spanned by more than one transportation system. These different modes of transport have usually been studied separately: it is however important to understand the impact on urban systems of the coupling between them and we report in
Barthelemy, Marc +3 more
core +5 more sources
Gait-Based Person Identification Robust to Changes in Appearance
Sensors, 2013 The identification of a person from gait images is generally sensitive to appearance changes, such as variations of clothes and belongings. One possibility to deal with this problem is to collect possible subjects’ appearance changes in a database ...
Koji Uchino, Yumi Iwashita, Ryo Kurazume
doaj +1 more source
Frontiers in Psychology, 2018 Honey bees display remarkable visual learning abilities, providing insights regarding visual information processing in a miniature brain. It was discovered that bees can solve a task that is generally viewed as spatial concept learning in primates ...
Marie Guiraud +4 more
doaj +1 more source