Results 51 to 60 of about 8,796 (251)

Deep Learning-Based Recognition of Arch-Back Direction in Bare-Root Strawberry Seedlings for Mechanized Transplanting

Agriculture
Correct arch-back orientation is essential in ridge-based strawberry transplanting. Improper orientation can increase soil contact and soil-borne disease risk, leading to yield loss and reduced harvest efficiency.
Jinhao Zhou, Pengcheng Zhang, Menglei Wei, Wei Liu, Jiawei Shi, Youheng Tan, Jianping Hu   +6 more
doaj   +1 more source

Building Keypoint Mappings on Multispectral Images by a Cascade of Classifiers with a Resurrection Mechanism

Sensors, 2015
Inspired by the boosting technique for detecting objects, this paper proposes a cascade structure with a resurrection mechanism to establish keypoint mappings on multispectral images.
Yong Li, Jing Jing, Hongbin Jin, Wei Qiao   +3 more
doaj   +1 more source

SCALE INVARIANT FEATURE TRANSFORM PLUS HUE FEATURE [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
This paper presents an enhanced method for extracting invariant features from images based on Scale Invariant Feature Transform (SIFT). Although SIFT features are invariant to image scale and rotation, additive noise, and changes in illumination but we ...
M. B.Daneshvar
doaj   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

A Novel Correspondence Selection Technique for Affine Rigid Image Registration

IEEE Access, 2018
This paper presents a novel technique called correspondence selection for rigid transformations in order to effectively refine keypoint matches in rigid image registration. The proposed technique mainly lies in the following two components.
Guohua Lv
doaj   +1 more source

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

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Deconvolution Enhancement Keypoint Network for Efficient Fish Fry Counting

Animals
Fish fry counting has been vital in fish farming, but current computer-based methods are not feasible enough to accurately and efficiently calculate large number of fry in a single count due to severe occlusion, dense distribution and the small size of ...
Ximing Li, Zhicai Liang, Yitao Zhuang, Zhe Wang, Huan Zhang, Yuefang Gao, Yubin Guo   +6 more
doaj   +1 more source

SMDAF: A novel keypoint based method for copy‐move forgery detection

IET Image Processing, 2022
Copy–move forgery poses a significant threat to social life and has aroused much attention in recent years. Although many copy‐move forgery detection (CMFD) methods have been proposed, the most existing CMFD methods are short of adaptability in detecting
Guangyu Yue, Qing Duan, Renyang Liu, Wenyu Peng, Yun Liao, Junhui Liu   +5 more
doaj   +1 more source

Palatable‐Food–Driven Top‐Down Circuit Inhibits PVNCRF Activity to Mitigate Stress Via Peri‐PVNCRFR1 Neurons

Advanced Science, EarlyView.
Palatable food alleviates stress and prevents anxiety. This study uncovers a dedicated neural pathway: dopamine release in the PFC activates D1R neurons, whose projections to the peri‐PVN engage a population of anxiolytic CRFR1 neurons. These neurons then inhibit stress‐induced hyperactivity of PVNCRF neurons, providing a circuit‐level explanation for ...
Yuchuan Hong, Shirui Jun, Tianjiao Deng, Gaojie Shao, Dan Liu, Yi Sun, Yan Chen, Qian Xiao, Jie Shao, Sheng Wang, Tianwen Huang, Fan Yang, Jie Tu   +12 more
wiley   +1 more source