Results 71 to 80 of about 2,947,234 (236)

Utilization of Scale in Keypoint Detection and Feature Description [PDF]

, 2019
Ubiquitous availability of inexpensive three dimensional (3D) sensors has led to an abundance of keypoint detection and feature description techniques for point-clouds.
Rhodes, Andrew P
core   +1 more source

Monocular 3D Object Detection Based on Pseudo Multimodal Information Extraction and Keypoint Estimation

, 2023
Three-dimensional object detection is an essential and fundamental task in the field of computer vision which can be widely used in various scenarios such as autonomous driving and visual navigation.
Guizhong Liu, Dan Zhao, Chaofeng Ji
core   +1 more source

Drift‐Corrected Monocular VIO and Perception‐Aware Planning for Autonomous Drone Racing

Journal of Field Robotics, EarlyView.
ABSTRACT The Abu Dhabi Autonomous Racing League (A2RL) x Drone Champions League (DCL) competition requires teams to perform high‐speed autonomous drone racing using only a single camera and a low‐quality inertial measurement unit—a minimal sensor set that mirrors expert human drone racing pilots.
Maulana Bisyir Azhari, Donghun Han, Je In You, Sung Jun Park, David Hyunchul Shim   +4 more
wiley   +1 more source

Learning a descriptor-specific 3D keypoint detector

, 2015
Keypoint detection represents the first stage in the majority of modern computer vision pipelines based on automatically established correspondences between local descriptors.
Samuele Salti, SALTI, SAMUELE, Spezialetti, Riccardo, Luigi Di Stefano, TOMBARI, FEDERICO, Federico Tombari, Riccardo Spezialetti, DI STEFANO, LUIGI   +7 more
core   +1 more source

Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron

Remote Sensing in Ecology and Conservation, EarlyView.
This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné, Víctor Sazatornil, Lluís Brotons, Felipe Lumbreras Ruiz, Robert Benavente, Maguiña Ramilo‐Henry, Cristina Ramos, Santiago Palazón, Daniel Ponsa   +8 more
wiley   +1 more source

Fusion or Confusion? Assessing the Impact of Visible‐Thermal Image Fusion for Automated Wildlife Detection

Remote Sensing in Ecology and Conservation, EarlyView.
This study evaluates the performances of synchronous aerial visible (VIS) and thermal infrared (TIR) imagery for detecting great blue heron (Ardea herodias) nests and individuals using a YOLO11n model. VIS and TIR images were automatically aligned using deep learning, and both early and late fusion approaches were tested.
Camille Dionne‐Pierre, Samuel Foucher, Jérôme Théau, Jérôme Lemaître, Patrick Charbonneau, Maxime Brousseau, Mathieu Varin   +6 more
wiley   +1 more source

Feature extraction of overlapping hevea leaves: A comparative study

Information Processing in Agriculture, 2018
Automation of rubber tree clone classification has inspired research into new methods of leaf feature extraction. In current practice, rubber clone inspectors has been using several leaf features to identify clone types.
Sule T. Anjomshoae, Mohd Shafry Bin Mohd Rahim   +1 more
doaj   +1 more source

World Models for Robotic Manipulation: A Survey

SmartBot, EarlyView.
World models enable robots to anticipate how candidate actions may alter object configurations, contact states, and scene geometry before physical execution. This survey examines world models for robotic manipulation as action‐conditioned predictive systems and organizes the literature according to predicted representations, interfaces between ...
Fangyuan Wang, Ziyuan Wang, Guorui Pei, Mengshi Zhang, Canxi Liang, Jun Hu, Zhongxuan Li, Jinsong Wu, Ning Han, Zeqing Zhang, Jiaming Qi, Hongmin Wu, Shiyao Zhang, Pai Zheng, Jia Pan, David Navarro‐Alarcon, Sichao Liu, Peng Zhou   +17 more
wiley   +1 more source

Local keypoint-based Faster R-CNN [PDF]

, 2020
Region-based Convolutional Neural Network (R-CNN) detectors have achieved state-of-the-art results on various challenging benchmarks. Although R-CNN has achieved high detection performance, the research of local information in producing candidates is ...
Ding, Xintao, Wang, Jinbao, Cheng, Yongqiang, Bian, Weixin, Li, Qingde, Jie, Biao   +5 more
core   +1 more source

A Review on the Development and Key Technologies of Embodied Intelligent Industrial Robots in Smart Manufacturing

SmartBot, EarlyView.
Conventional industrial robots rely on predefined workflows and struggle to adapt to changing tasks and uncertain manufacturing environments. This review examines the development and key technologies of embodied intelligent industrial robots (EIIRs), highlighting a closed‐loop architecture that integrates human and industrial inputs, embodied ...
Jie Wang, Mingsheng Li, Yiming Jiang, Hui Zhang, Zhiqiang Miao, Weixing Peng, He Xie, Yaonan Wang   +7 more
wiley   +1 more source