Results 21 to 30 of about 2,947,234 (236)

Real-Time Human Keypoint Detection Algorithm Based on Lightweight Network [PDF]

Jisuanji gongcheng, 2021
To improve the real-time performance and speed of human pose estimation on mobile devices,this paper proposes an improved human keypoint detection algorithm.The algorithm uses the depthwise separable convolution module and MobileNetV2,a light-weight ...
HU Jianghao, WANG Hongyu, QIAO Wenchao, MA Jingxuan
doaj   +1 more source

Deep learning-based 2D keypoint detection in alpine ski racing - A performance analysis of state-of-the-art algorithms applied to regular skiing and injury situations. [PDF]

JSAMS Plus, 2023
Objectives: In this study, we examined the practicability of deep learning-based 2D keypoint detection applied to regular skiing and injury situations (i.e., out-of-balance situations and fall situations) on an alpine ski racing track.
Zwölfer M, Heinrich D, Schindelwig K, Wandt B, Rhodin H, Spörri J, Nachbauer W.   +6 more
europepmc   +2 more sources

An improved copy-move forgery detection based on density-based clustering and guaranteed outlier removal

Journal of King Saud University: Computer and Information Sciences, 2021
Copy-move image forgery detection has become a significant research subject in multimedia forensics and security due to its widespread use and its hard detection.
Aya Hegazi, Ahmed Taha, Mazen M. Selim
doaj   +1 more source

A Very Fast Copy-Move Forgery Detection Method for 4K Ultra HD Images

Frontiers in Signal Processing, 2022
Copy-move forgery detection is a challenging task in digital image forensics. Keypoint-based detection methods have proven to be very efficient to detect copied-moved forged areas in images.
Laura Bertojo, Christophe Néraud, William Puech   +2 more
doaj   +1 more source

Multi-Hypothesis Topological Isomorphism Matching Method for Synthetic Aperture Radar Images with Large Geometric Distortion

Remote Sensing, 2021
The dramatic undulations of a mountainous terrain will introduce large geometric distortions in each Synthetic Aperture Radar (SAR) image with different look angles, resulting in a poor registration performance.
Runzhi Jiao, Qingsong Wang, Tao Lai, Haifeng Huang   +3 more
doaj   +1 more source

Grasping and cutting points detection method for the harvesting of dome-type planted pumpkin using transformer network-based instance segmentation architecture

Frontiers in Plant Science, 2023
An accurate and robust keypoint detection method is vital for autonomous harvesting systems. This paper proposed a dome-type planted pumpkin autonomous harvesting framework with keypoint (grasping and cutting points) detection method using instance ...
Jin Yan, Yong Liu, Deshuai Zheng, Tao Xue   +3 more
doaj   +1 more source

Trainable COSFIRE filters for keypoint detection and pattern recognition [PDF]

, 2013
Background: Keypoint detection is important for many computer vision applications. Existing methods suffer from insufficient selectivity regarding the shape properties of features and are vulnerable to contrast variations and to the presence of noise or ...
Petkov, Nicolai, Azzopardi, George, Azzopardi, George; id_orcid   +2 more
core   +2 more sources

Mouse Keypoint Detection Dataset and Behavior Recognition Dataset

, 2022
Mouse Keypoint Detection Dataset and Behavior Recognition ...
Juncai Zhu (9651779)
core   +1 more source

Unveiling Copy-Move Forgeries: Enhancing Detection With SuperPoint Keypoint Architecture

, 2023
The authentication of digital images poses a significant challenge due to the wide range of image forgery techniques employed, with one notable example being a copy-move forgery.
Alawatugoda, Janaka, Perera, HCS, Mahadeva, Rajesh, Rajesh Mahadeva, Dinesh Kumar, Kumar, Dinesh, H. C. S. Perera, Janaka Alawatugoda, Anjali Diwan, Diwan, Anjali   +9 more
core   +1 more source

Multi-scale feature fusion keypoint detection network for ship draft line localization. [PDF]

Sci Rep
In the maritime industry, accurately detecting a ship’s draft line is crucial for ensuring transaction fairness and navigational safety. Existing deep learning-based methods for draft line detection primarily use segmentation techniques to segment the ...
Zhang B, Yin Y, Ma K, Wang H.
europepmc   +2 more sources